Pin v0.9.82 release digests for updater integrity verification.

Carry SHA-256 hashes for the source zip, MSI, and setup EXE into release_digests.json while retaining prior release entries.

Co-authored-by: Cursor <cursoragent@cursor.com>

.env.example

@@ -10,6 +10,23 @@ OPENSKY_CLIENT_ID=
 OPENSKY_CLIENT_SECRET=
 AIS_API_KEY=
 
+# Global Fishing Watch — fishing vessel activity events (Fishing Activity map layer).
+# Free API token from https://globalfishingwatch.org/our-apis/tokens
+# Without this the fishing_activity layer stays empty.
+# GFW_API_TOKEN=
+# Optional tuning — GFW can return 40k+ global events; defaults cap fetch for map paint.
+# GFW_EVENTS_PAGE_SIZE=500
+# GFW_EVENTS_MAX_PAGES=10
+# GFW_EVENTS_LOOKBACK_DAYS=7
+# GFW_EVENTS_TIMEOUT_S=90
+
+# Windy Webcams global CCTV layer — free key from https://api.windy.com/webcams/docs
+# WINDY_API_KEY=
+
+# Telegram OSINT map layer — scrapes public t.me/s channel previews (no bot token).
+# TELEGRAM_OSINT_ENABLED=true
+# TELEGRAM_OSINT_CHANNELS=osintdefender,insiderpaper,aljazeeraenglish,nexta_live,war_monitor
+
 # Admin key to protect sensitive endpoints (settings, updates).
 # If blank, loopback/localhost requests still work for local single-host dev.
 # Remote/non-loopback admin access requires ADMIN_KEY, or ALLOW_INSECURE_ADMIN=true in debug-only setups.
@@ -39,8 +56,8 @@ ADMIN_KEY=
 # NUFORC_MAPBOX_TOKEN=
 
 # Optional startup-risk controls.
-# On Windows, external curl fallback and the Playwright LiveUAMap scraper are
-# disabled by default so blocked upstream feeds cannot interrupt start.bat.
+# On Windows, external curl fallback is off by default. LiveUAMap uses UI consent
+# when you enable Global Incidents (or set SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=true).
 # SHADOWBROKER_ENABLE_WINDOWS_CURL_FALLBACK=false
 # SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=false
 # AIS starts by default when AIS_API_KEY is set. Set to 0/false to force-disable.
@@ -77,6 +94,19 @@ ADMIN_KEY=
 # pip install earthengine-api
 # GEE_SERVICE_ACCOUNT_KEY=
 
+# Copernicus CDSE — Sentinel-2 imagery (Settings → Imagery, or backend .env).
+# Free OAuth app at https://dataspace.copernicus.eu/
+# SENTINEL_CLIENT_ID=
+# SENTINEL_CLIENT_SECRET=
+
+# Sentinel-2 road corridor freight trends (DrishX engine port — opt-in slow layer).
+# pip install -e backend[road-corridor]  (or uv sync --extra road-corridor)
+# ROAD_CORRIDOR_SAT_ENABLED=false
+# ROAD_CORRIDOR_SCHEDULED_PRESETS=laredo_i35
+# ROAD_CORRIDOR_MONTHS=2
+# ROAD_CORRIDOR_MAX_FRAMES=6
+# ROAD_CORRIDOR_REFRESH_HOURS=24
+
 # Override the backend URL the frontend uses (leave blank for auto-detect)
 # NEXT_PUBLIC_API_URL=http://192.168.1.50:8000
 
@@ -128,8 +158,14 @@ ADMIN_KEY=
 # MESH_DM_ROOT_TRANSPARENCY_LEDGER_READBACK_URI=backend/../ops/root_transparency_ledger.json
 
 # ── Self Update ────────────────────────────────────────────────
+# Optional ZIP updater digest pin. The updater checks this first, then
+# backend/data/release_digests.json, then the release SHA256SUMS.txt asset.
 # MESH_UPDATE_SHA256=
 
+# Optional strict nonce-only frontend CSP. Leave unset unless the exact build
+# has been verified to hydrate cleanly in your deployment.
+# SHADOWBROKER_STRICT_CSP=1
+
 # ── Wormhole (Local Agent) ─────────────────────────────────────
 # WORMHOLE_URL=http://127.0.0.1:8787
 # WORMHOLE_TRANSPORT=direct

.github/pull_request_template.md

@@ -0,0 +1,13 @@
+## Summary
+
+<!-- What changed and why (1–3 bullets). -->
+
+## Test plan
+
+- [ ] <!-- How you verified the change -->
+
+## Production hardening (data path / fetchers / unattended deploys only)
+
+If this PR touches the data path, fetchers, or live-data APIs, walk through [docs/production-hardening.md](https://github.com/BigBodyCobain/Shadowbroker/blob/main/docs/production-hardening.md) and note any N/A items here.
+
+- [ ] Checklist reviewed (or N/A — explain why)

.gitignore

@@ -109,6 +109,9 @@ backend/data/*
 # release. Used ONLY on first-ever startup to bootstrap carrier_cache.json;
 # after that the cache reflects this install's own GDELT observations.
 !backend/data/carrier_seed.json
+# DrishX RF model weights (MIT — see backend/third_party/drishx/NOTICE.md)
+!backend/data/drishx/
+!backend/data/drishx/rf_model.pickle
 
 # OS generated files
 .DS_Store
@@ -198,6 +201,8 @@ graphify-out/
 # Internal docs & brainstorming (never commit)
 # ========================
 docs/*
+!docs/OUTBOUND_DATA.md
+!docs/production-hardening.md
 !docs/mesh/
 docs/mesh/*
 !docs/mesh/threat-model.md

.gitlab-ci.yml

@@ -13,13 +13,22 @@
 #   2. Reverse-mirrors main back to GitHub (only if commits land directly
 #      on GitLab) so the two sources stay in sync.
 #
+# Pipelines on this repo were instant-failing for free-tier accounts until
+# identity verification was added — the May 2026 bump in this comment is
+# the marker commit that confirms runner allocation after verification.
+#
 # Auth notes:
 #   - The image build/push uses $CI_JOB_TOKEN, which GitLab provides
 #     automatically. No credentials need to be configured.
-#   - The reverse mirror requires a GitHub personal access token stored
-#     as the GitLab CI/CD variable GITHUB_MIRROR_TOKEN (Protected + Masked).
-#     Scope: public_repo (or repo for private). If the variable isn't
-#     set the mirror job is skipped — image builds still run.
+#   - The reverse mirror authenticates to GitHub via a per-repo SSH
+#     deploy key. The private half is stored as the File-type GitLab
+#     CI/CD variable GITHUB_MIRROR_SSH_KEY (Protected). The matching
+#     public key is added to github.com/BigBodyCobain/Shadowbroker/
+#     settings/keys with write access. This is a tighter-scoped
+#     replacement for a personal access token: it can ONLY push to
+#     Shadowbroker, never expires, and rotating it is a one-click
+#     delete on GitHub's deploy-keys page. If the variable isn't set,
+#     the mirror job is skipped — image builds still run.
 
 stages:
   - build
@@ -48,7 +57,11 @@ variables:
     - docker info
     - docker login -u "$CI_REGISTRY_USER" -p "$CI_JOB_TOKEN" "$CI_REGISTRY"
     - docker run --privileged --rm tonistiigi/binfmt --install all
-    - docker buildx create --use --name multiarch --driver docker-container
+    # buildx --driver docker-container can't read TLS from the env vars
+    # the GitLab dind service exports. Wrap them in a docker context and
+    # bind buildx to it. See https://docs.gitlab.com/ee/ci/docker/using_docker_build.html#use-docker-buildx
+    - docker context create tls-env
+    - docker buildx create --use --name multiarch --driver docker-container tls-env
 
 # ── Backend image ────────────────────────────────────────────────────────
 build-backend:
@@ -93,18 +106,35 @@ build-frontend:
         - .gitlab-ci.yml
 
 # ── Reverse mirror to GitHub ─────────────────────────────────────────────
-# Pushes refs/heads/main to github.com/BigBodyCobain/Shadowbroker.
-# Fast-forward-only — if GitLab main and GitHub main have diverged, this
-# fails loudly rather than silently overwriting either side.
+# Pushes refs/heads/main to github.com/BigBodyCobain/Shadowbroker via SSH
+# using a per-repo deploy key. Fast-forward-only by default — if GitLab
+# main and GitHub main have diverged, the push fails loudly rather than
+# silently overwriting either side.
 #
-# Only runs if GITHUB_MIRROR_TOKEN is set as a CI/CD variable. See the
-# header comment of this file for setup instructions.
+# Only runs if GITHUB_MIRROR_SSH_KEY is set as a File-type CI/CD variable.
+# See the header comment of this file for setup instructions.
 mirror-to-github:
   stage: mirror
   image: alpine:3.20
   needs: []
   before_script:
     - apk add --no-cache git openssh-client ca-certificates
+    - mkdir -p ~/.ssh
+    - chmod 700 ~/.ssh
+    # Install the deploy key. File-type CI variable exposes the path; copy
+    # to ~/.ssh/id_ed25519 with restrictive perms so ssh accepts it.
+    - cp "$GITHUB_MIRROR_SSH_KEY" ~/.ssh/id_ed25519
+    - chmod 600 ~/.ssh/id_ed25519
+    # Pin github.com's current host keys so we never trust a man-in-the-
+    # middle. Sourced from https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/githubs-ssh-key-fingerprints
+    # (rotated 2023-03-24 after the previous RSA key leak).
+    - |
+      cat > ~/.ssh/known_hosts <<'EOF'
+      github.com ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIOMqqnkVzrm0SdG6UOoqKLsabgH5C9okWi0dh2l9GKJl
+      github.com ecdsa-sha2-nistp256 AAAAE2VjZHNhLXNoYTItbmlzdHAyNTYAAAAIbmlzdHAyNTYAAABBBEmKSENjQEezOmxkZMy7opKgwFB9nkt5YRrYMjNuG5N87uRgg6CLrbo5wAdT/y6v0mKV0U2w0WZ2YB/++Tpockg=
+      github.com ssh-rsa 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
+      EOF
+    - chmod 644 ~/.ssh/known_hosts
   script:
     - git config --global user.email "ci-mirror@gitlab.com"
     - git config --global user.name "GitLab CI Mirror"
@@ -115,7 +145,7 @@ mirror-to-github:
     - cd repo
     - >
       git push
-      "https://x-access-token:${GITHUB_MIRROR_TOKEN}@github.com/BigBodyCobain/Shadowbroker.git"
+      "git@github.com:BigBodyCobain/Shadowbroker.git"
       "${CI_COMMIT_SHA}:refs/heads/main"
   rules:
-    - if: $CI_COMMIT_BRANCH == "main" && $GITHUB_MIRROR_TOKEN
+    - if: $CI_COMMIT_BRANCH == "main" && $GITHUB_MIRROR_SSH_KEY

DATA-ATTRIBUTION.md

@@ -44,7 +44,8 @@ These sources have their own terms; consult each link before redistributing.
 | aisstream.io | https://aisstream.io | Free-tier API terms (attribution required) | AIS vessel positions |
 | Global Fishing Watch | https://globalfishingwatch.org | CC BY 4.0 (for public data) | Fishing activity events |
 | Microsoft Planetary Computer | https://planetarycomputer.microsoft.com | Sentinel-2 / ESA Copernicus terms | Sentinel-2 imagery |
-| Copernicus CDSE (Sentinel Hub) | https://dataspace.copernicus.eu | ESA Copernicus open data terms | SAR + optical imagery |
+| Copernicus CDSE (Sentinel Hub) | https://dataspace.copernicus.eu | ESA Copernicus open data terms | SAR + optical imagery, optional road-corridor truck trends |
+| DrishX / Fisser et al. 2022 | https://github.com/sparkyniner/DRISH-X-Satellite-powered-freight-intelligence- | MIT (engine); research methodology attribution | Sentinel-2 motion-smear truck detection on major roads (opt-in) |
 | Shodan | https://www.shodan.io | Operator-supplied API key, Shodan ToS | Internet device search |
 | Smithsonian GVP | https://volcano.si.edu | Attribution required | Volcanoes |
 | OpenAQ | https://openaq.org | CC BY 4.0 | Air quality stations |

README.md

@@ -19,7 +19,7 @@
 
 **ShadowBroker** is a decentralized intelligence platform that aggregates real-time, multi-domain OSINT telemetry from 60+ live intelligence feeds into a single dark-ops map interface. Aircraft, ships, satellites, conflict zones, CCTV networks, GPS jamming, internet-connected devices, police scanners, mesh radio nodes, and breaking geopolitical events — all updating in real time on one screen as well as an obfuscated communications protocol and information exchange infrastructure.
 
-Built with **Next.js**, **MapLibre GL**, **FastAPI**, and **Python**. 35+ toggleable data layers, including SAR ground-change detection. Multiple visual modes (DEFAULT / SATELLITE / FLIR / NVG / CRT). Right-click any point on Earth for a country dossier, head-of-state lookup, and the latest Sentinel-2 satellite photo. No user data is collected or transmitted — the dashboard runs entirely in your browser against a self-hosted backend.
+Built with **Next.js**, **MapLibre GL**, **FastAPI**, and **Python**. 40+ toggleable data layers, including SAR ground-change detection, **Telegram OSINT** (public channel previews geoparsed onto the map), a **server-side recon toolkit** (DNS, WHOIS, sanctions, BGP, IP sweep, and more), supply-chain risk overlays, and malware/C2 + CISA KEV cyber threat feeds. Multiple visual modes (DEFAULT / SATELLITE / FLIR / NVG / CRT). Right-click any point on Earth for a country dossier, head-of-state lookup, entity-graph expansion, and the latest Sentinel-2 satellite photo. ShadowBroker has no accounts, product telemetry, or analytics; the dashboard talks to your self-hosted backend. Sensitive recon and Shodan queries never hit third-party APIs from the browser — they are proxied through the backend with SSRF guards and local-operator auth. The **OpenClaw / agent command channel** exposes the same recon backends plus full telemetry search — no separate API integration required.
 
 Designed for analysts, researchers, radio operators, and anyone who wants to see what the world looks like when every public signal is on the same map.
 
@@ -28,18 +28,20 @@ Designed for analysts, researchers, radio operators, and anyone who wants to see
 
 A surprising amount of global telemetry is already public — aircraft ADS-B broadcasts, maritime AIS signals, satellite orbital data, earthquake sensors, mesh radio networks, police scanner feeds, environmental monitoring stations, internet infrastructure telemetry, and more. This data is scattered across dozens of tools and APIs. ShadowBroker combines all of it into a single interface.
 
-The project does not introduce new surveillance capabilities — it aggregates and visualizes existing public datasets. It is fully open-source so anyone can audit exactly what data is accessed and how. No user data is collected or transmitted — everything runs locally against a self-hosted backend. No telemetry, no analytics, no accounts.
+The project does not introduce new surveillance capabilities — it aggregates and visualizes existing public datasets. It is fully open-source so anyone can audit exactly what data is accessed and how. ShadowBroker does not include product telemetry, analytics, or accounts. Operator-supplied keys stay in your local deployment, but live OSINT features necessarily make outbound requests to the public data providers you enable or query.
 
-### Shodan Connector
+### Shodan & Recon (security-first)
 
-ShadowBroker includes an optional Shodan connector for operator-supplied API access. Shodan results are fetched with your own `SHODAN_API_KEY`, rendered as a local investigative overlay (not merged into core feeds), and remain subject to Shodan’s terms of service.
+ShadowBroker includes an optional **Shodan connector** for operator-supplied API access (`SHODAN_API_KEY`) and a **Recon Toolkit** panel for keyless OSINT lookups. Both run **server-side only**: the browser calls your self-hosted `/api/osint/*` and `/api/tools/shodan/*` routes; outbound requests are made by the backend after SSRF validation. Recon requires **local-operator** access (same trust model as layer toggles and admin routes). Shodan results render as a separate map overlay and remain subject to Shodan’s terms of service.
+
+> **Not included:** embedded live-news YouTube grids or a built-in Gemini AI analyst panel — use the **OpenClaw / agent channel** for AI-assisted analysis instead.
 
 ---
 
 ## Interesting Use Cases
 
 * **Track Air Force One**, the private jets of billionaires and dictators, and every military tanker, ISR, and fighter broadcasting ADS-B. Air Force One and all of the accompanying Presidential/Vice Presidential planes are highlighted and monitored from the moment they leave the ground. 
-* **Connect an AI agent as a co-analyst** through ShadowBroker's HMAC-signed agentic command channel — supports OpenClaw and any other agent that speaks the protocol (Claude, GPT, LangChain, custom). The agent gets full read/write access to all 35+ data layers, pin placement, map control, SAR ground-change, mesh networking, and alert delivery. It sees everything the operator sees and can take actions on the map in real time.
+* **Connect an AI agent as a co-analyst** through ShadowBroker's HMAC-signed agentic command channel — supports OpenClaw and any other agent that speaks the protocol (Claude, GPT, LangChain, custom). The agent gets full read/write access to all 40+ data layers, compact cross-layer search (`search_telemetry`, `search_news`), the full recon toolkit (`osint_lookup` for IP/DNS/WHOIS/sanctions/CVE/etc.), entity-graph expansion, pin placement, map control, SAR ground-change, mesh networking, and alert delivery. It sees everything the operator sees and can take actions on the map in real time.
 * **Communicate on the InfoNet testnet** — The first decentralized intelligence mesh built into an OSINT tool. Obfuscated messaging with gate personas, Dead Drop peer-to-peer exchange, and a built-in terminal CLI. No accounts, no signup. Privacy is not guaranteed yet — this is an experimental testnet — but the protocol is live and being hardened.
 * **Right-click anywhere on Earth** for a country dossier (head of state, population, languages), Wikipedia summary, and the latest Sentinel-2 satellite photo at 10m resolution
 * **Click a KiwiSDR node** and tune into live shortwave radio directly in the dashboard. Click a police scanner feed and eavesdrop in one click.
@@ -55,6 +57,12 @@ ShadowBroker includes an optional Shodan connector for operator-supplied API acc
 * **Track trains** across the US (Amtrak) and Europe (DigiTraffic) in real time
 * **Estimate where US aircraft carriers are** using automated GDELT news scraping — no other open tool does this
 * **Search internet-connected devices worldwide** via Shodan — cameras, SCADA systems, databases — plotted as a live overlay on the map
+* **Run a full recon toolkit** from the left sidebar — IP geolocation, DNS, RDAP/WHOIS, certificate transparency, BGP/ASN, OFAC sanctions search, CVE lookup, Tor/OTX threat checks, and subnet sweeps (InternetDB proxied server-side)
+* **Expand an entity graph** when you select an aircraft, vessel, company, or IP — Wikidata + OFAC + live store cross-links rendered in the Entity Graph panel
+* **Monitor supply-chain risk** — Tier 1/2 semiconductor and battery fabs scored against nearby earthquakes, wildfires, and conflict events (SCM panel)
+* **Toggle malware C2 hotspots** — abuse.ch Feodo Tracker + URLhaus feeds mapped by country (opt-in layer)
+* **Monitor Telegram OSINT channels** — public `t.me/s` war/conflict feeds (OSINTdefender, NEXTA, etc.) scraped hourly, risk-scored, geoparsed to metro anchors, and plotted as clickable map pins with inline media
+* **Overlay global submarine cables** — static TeleGeography-derived cable routes (opt-in layer)
 
 
 ---
@@ -113,6 +121,20 @@ That's it. `pull` grabs the latest images, `up -d` restarts the containers.
 >
 > Podman users should run the equivalent provider command, for example `podman-compose pull` and `podman-compose up -d`, or use `./compose.sh --engine podman pull` and `./compose.sh --engine podman up -d` from a bash-compatible shell.
 
+### Update Integrity
+
+Docker updates are delivered through signed container registries. The legacy ZIP self-updater verifies release archives through this chain, in order:
+
+* `MESH_UPDATE_SHA256` when an operator pins a digest explicitly.
+* `backend/data/release_digests.json` for bundled release pins.
+* The release `SHA256SUMS.txt` asset on GitHub when a bundled pin is not present.
+
+Release maintainers should run `python backend/scripts/release_helper.py hash <ShadowBroker_vX.Y.Z.zip>` before publishing, then publish `SHA256SUMS.txt` and update `backend/data/release_digests.json` when shipping a ZIP updater target. The updater keeps the operator override path intact instead of failing closed on missing bundled digests, so existing installs do not get stranded by a release-process mistake.
+
+### CSP Hardening
+
+The production frontend ships with a hydration-compatible CSP and a strict nonce-only CSP in `Content-Security-Policy-Report-Only`. Set `SHADOWBROKER_STRICT_CSP=1` only after verifying the exact build hydrates correctly in your deployment. Runtime Google Fonts are not required; the bundled Next font pipeline serves the dashboard font from the app build.
+
 ### ⚠️ **Stuck on the old version?**
 
 **If `git pull` fails or `docker compose up` keeps building from source instead of pulling images**, your clone predates a March 2026 repository migration that rewrote commit history. A normal `git pull` cannot fix this. Run:
@@ -174,7 +196,7 @@ ShadowBroker v0.9.7 ships **InfoNet** (decentralized intelligence mesh + Soverei
 | Channel | Privacy Status | Details |
 |---|---|---|
 | **Meshtastic / APRS** | **PUBLIC** | RF radio transmissions are public and interceptable by design. |
-| **InfoNet Gate Chat** | **OBFUSCATED** | Messages are obfuscated with gate personas and canonical payload signing, but NOT end-to-end encrypted. Metadata is not hidden. |
+| **InfoNet Gate Chat** | **OBFUSCATED** | Messages are obfuscated with gate personas and canonical payload signing, but NOT end-to-end encrypted. Metadata is not hidden despite being designed through Tor and Reticulum (Work in progress). |
 | **Dead Drop DMs** | **STRONGEST CURRENT LANE** | Token-based epoch mailbox with SAS word verification. Strongest lane in this build, but not yet confidently private. |
 | **Sovereign Shell governance** | **PUBLIC LEDGER** | Petitions, votes, upgrade hashes, and dispute stakes are signed events on a public hashchain. Pseudonymous via gate persona, but governance actions are intentionally observable. |
 | **Privacy primitives (RingCT / stealth / DEX)** | **NOT YET WIRED** | Locked Protocol contracts are in place, but the cryptographic scheme has not been chosen. The privacy-core Rust crate is the integration target for a future sprint. |
@@ -199,7 +221,7 @@ The first decentralized intelligence communication and governance layer built di
 
 **Communication layer (since v0.9.6):**
 
-* **InfoNet Experimental Testnet** — A global, obfuscated message relay. Anyone running ShadowBroker can transmit and receive on the InfoNet. Messages pass through a Wormhole relay layer with gate personas, Ed25519 canonical payload signing, and transport obfuscation.
+* **InfoNet Experimental Testnet** — A global, obfuscated message relay using Tor and Reticulum. Anyone running ShadowBroker can transmit and receive on the InfoNet. Messages pass through a Wormhole relay layer with gate personas, Ed25519 canonical payload signing, and transport obfuscation.
 * **Mesh Chat Panel** — Three-tab interface: **INFONET** (gate chat with obfuscated transport), **MESH** (Meshtastic radio integration), **DEAD DROP** (peer-to-peer message exchange with token-based epoch mailboxes — strongest current lane).
 * **Gate Persona System** — Pseudonymous identities with Ed25519 signing keys, prekey bundles, SAS word contact verification, and abuse reporting.
 * **Mesh Terminal** — Built-in CLI: `send`, `dm`, market commands, gate state inspection. Draggable panel, minimizes to the top bar. Type `help` to see all commands.
@@ -219,17 +241,34 @@ The first decentralized intelligence communication and governance layer built di
 
 **Privacy primitive runway (NEW in v0.9.7):**
 
-* **Function Keys — Anonymous Citizenship Proof** — A citizen proves "I am an Infonet citizen" without revealing their Infonet identity. 5 of 6 pieces shipped: nullifiers, challenge-response, two-phase commit receipts, enumerated denial codes, batched settlement. Issuance via blind signatures waits on a primitive decision (RSA blind sigs vs BBS+ vs U-Prove vs Idemix).
+* **Function Keys — Anonymous Credential Scaffolding** — The plumbing is in place for nullifiers, challenge-response, two-phase commit receipts, enumerated denial codes, and batched settlement. Today's challenge-response is an HMAC-based placeholder for integration testing, not a production anonymous or zero-knowledge citizenship proof. True unlinkable issuance still waits on a primitive decision (RSA blind sigs vs BBS+ vs U-Prove vs Idemix).
 * **Locked Protocol Contracts** — Stable interfaces in `services/infonet/privacy/contracts.py` for ring signatures, stealth addresses, Pedersen commitments, range proofs, and DEX matching. The `privacy-core` Rust crate is the integration target — no caller of the privacy module needs to know which scheme is active.
 * **Sprint 11+ Path** — When the cryptographic scheme is chosen, primitives wire into the locked Protocols without API churn.
 
 > **Experimental Testnet — No Privacy Guarantee:** InfoNet messages are obfuscated but NOT end-to-end encrypted. The Mesh network (Meshtastic/APRS) is NOT private — radio transmissions are inherently public. The privacy primitive contracts are scaffolded but not yet wired. Do not send anything sensitive on any channel. Treat all channels as open and public for now.
 
-### 🔍 Shodan Device Search (NEW in v0.9.6)
+### 🔍 Recon Toolkit & Shodan (Osiris-derived, security-first)
 
-* **Internet Device Search** — Query Shodan directly from ShadowBroker. Search by keyword, CVE, port, or service — results plotted as a live overlay on the map
+Adapted from the [OSIRIS](https://github.com/simplifaisoul/osiris) recon stack (MIT) with ShadowBroker’s proxy model. Attribution: `backend/third_party/osiris/NOTICE.md`.
+
+**Recon Toolkit** (left sidebar — local operator only):
+
+* **IP / DNS / WHOIS** — ip-api.com geolocation, Google DNS-over-HTTPS, RDAP registrant data with optional HTTP security header scoring
+* **Certificates & BGP** — crt.sh subdomain discovery, bgpview.io ASN/prefix lookups
+* **Threat intel** — AlienVault OTX pulses, Tor exit-node checks, optional per-IP/domain reputation
+* **Sanctions** — OpenSanctions `us_ofac_sdn` index (CC-BY); cross-checks on WHOIS entities and IP ISP/org strings
+* **CVE / MAC / GitHub / leaks** — MITRE CVE API, MAC vendor lookup, GitHub profile recon, public breach checks
+* **IP sweep** — `/api/osint/sweep/scan` geolocates a target /24–/32 and proxies Shodan InternetDB host discovery server-side (browser never contacts InternetDB directly)
+* **SSRF guard** — Private, loopback, link-local, and metadata hostnames are blocked before any user-supplied fetch
+
+**Entity graph** — Select any map entity to open the Entity Graph panel (`GET /api/entity/expand`). Resolves aircraft, vessels, companies, persons, IPs, and countries into a node/link graph (Wikidata SPARQL + OFAC + in-memory flight/ship store).
+
+**OpenClaw / agent access** — The same recon backends are available on the HMAC command channel (no browser local-operator gate): `osint_lookup` (passive IP/DNS/WHOIS/certs/BGP/sanctions/CVE/MAC/GitHub/leaks/threats), `entity_expand` (relationship graph), and `osint_sweep` (active subnet scan — **full** access tier only). Call `osint_tools` to list supported lookup types. Skill package: `openclaw-skills/shadowbroker/` (`SKILL.md` + `sb_query.py`).
+
+**Shodan overlay** (unchanged):
+
+* **Internet Device Search** — Query Shodan with your own API key; results plotted as a live overlay
 * **Configurable Markers** — Shape, color, and size customization for Shodan results
-* **Operator-Supplied API** — Uses your own `SHODAN_API_KEY`; results rendered as a local investigative overlay
 
 ### 🛩️ Aviation Tracking
 
@@ -317,11 +356,12 @@ The first decentralized intelligence communication and governance layer built di
 
 ### 📷 Surveillance
 
-* **CCTV Mesh** — 11,000+ live traffic cameras from 13 sources across 6 countries:
+* **CCTV Mesh** — 22,000+ live traffic cameras from 21 ingestors across 10 countries (US, UK, Canada, Australia, Austria, Spain, Singapore, Netherlands when NDW feed is up, plus OSM):
   * 🇬🇧 Transport for London JamCams
   * 🇺🇸 NYC DOT, Austin TX (TxDOT)
   * 🇺🇸 California (12 Caltrans districts), Washington State (WSDOT), Georgia DOT, Illinois DOT, Michigan DOT
   * 🇪🇸 Spain DGT National (20 cities), Madrid City (357 cameras via KML)
+  * 🇦🇹 Austria ASFINAG motorway webcams
   * 🇸🇬 Singapore LTA
   * 🌍 Windy Webcams
 * **Feed Rendering** — Automatic detection & rendering of video, MJPEG, HLS, embed, satellite tile, and image feeds
@@ -342,6 +382,12 @@ The first decentralized intelligence communication and governance layer built di
 * **Data Center Mapping** — 2,000+ global data centers plotted from a curated dataset. Clustered purple markers with server-rack icons. Click for operator, location, and automatic internet outage cross-referencing by country.
 * **Military Bases** — Global military installation and missile facility database (NEW)
 * **Power Plants** — 35,000+ global power plants from the WRI database (NEW)
+* **Submarine Cables** — Global undersea cable routes from static TeleGeography-derived GeoJSON (`frontend/public/data/submarine-cables.json`). Opt-in line overlay.
+* **Malware C2 Layer** — Botnet C2 servers (Feodo Tracker) and recent malware URLs (URLhaus) from abuse.ch, refreshed on the slow tier when the layer is enabled.
+* **SCM Supplier Risk** — Tier 1/2 fabs and battery plants (TSMC, Samsung, CATL, etc.) cross-referenced against earthquakes, FIRMS fires, and GDELT conflict proximity. Alerts in the SCM panel; optional map layer.
+* **Cyber Threats Feed** — Recent CISA Known Exploited Vulnerabilities (KEV) entries exposed via `/api/cyber-threats` and the layer toggle.
+* **Country Risk Index** — Static geopolitical risk scores with USGS earthquake enrichment via `/api/country-risk`.
+* **Telegram OSINT** — Public channel web previews (`t.me/s/*`) from configurable war/OSINT feeds. Hourly incremental merge (no redundant re-scrape), keyword risk scoring, Cyrillic/Arabic place aliases, metro-anchor geocoding (separate from news centroids), inline photo/video via `/api/telegram/media` proxy. Layer key: `telegram_osint`.
 
 ### 🌐 Additional Layers & Tools
 
@@ -367,7 +413,9 @@ v0.9.7 turns ShadowBroker from a dashboard a human watches into an intelligence
 
 **Capabilities:**
 
-* **Full Telemetry Access** — The agent queries all 35+ data layers: flights, ships, satellites, SIGINT, conflict events, earthquakes, fires, wastewater, prediction markets, and more. Fast and slow tier endpoints return enriched data with geographic coordinates, timestamps, and source attribution.
+* **Full Telemetry Access** — The agent queries all 40+ data layers: flights, ships, satellites, SIGINT, conflict events, earthquakes, fires, wastewater, **Telegram OSINT**, malware/C2, **CISA KEV cyber threats**, SCM overlays, fishing activity (GFW), prediction markets, and more. Fast and slow tier endpoints return enriched data with geographic coordinates, timestamps, and source attribution.
+* **Compact Search (preferred over full dumps)** — `get_summary` → `get_layer_slice` with per-layer `since_layer_versions` (SSE `layer_changed` push tells the agent exactly which layers updated). `search_telemetry` is the Google-style cross-layer keyword index. `search_news` covers news, GDELT, CrowdThreat, LiveUAMap, frontlines, and Telegram posts. `entities_near`, `brief_area`, `find_flights`/`find_ships`/`find_entity`, and `correlate_entity` answer targeted questions without multi-megabyte pulls.
+* **Recon Toolkit on the Channel** — `osint_lookup` runs the same SSRF-guarded backends as the Recon panel (`ip`, `dns`, `whois`, `certs`, `bgp`, `sanctions`, `cve`, `mac`, `github`, `leaks`, `threats`, `sweep_init`). `entity_expand` builds Wikidata + OFAC relationship graphs. `osint_sweep` runs Shodan InternetDB subnet discovery (**full** tier). Layer aliases: `telegram`, `malware`/`botnet`, `cyber`/`cisa`/`kev`, `scm`/`suppliers`, `gfw`/`fishing`.
 * **AI Intel Pins** — Place color-coded investigation markers directly on the operator's map. 14 pin categories (threat, anomaly, military, maritime, aviation, SIGINT, infrastructure, etc.) with confidence scores, TTL expiry, source URLs, and batch placement up to 100 pins at once.
 * **Map Control** — Fly the operator's map view to any coordinate, trigger satellite imagery lookups, and open region dossiers. The agent can direct the operator's attention to specific locations in real time.
 * **SAR Ground-Change** — Query SAR anomaly feeds, inspect pin details, manage AOIs, and fly the map to watch areas. The agent can monitor for ground deformation, flood extent, or damage and promote anomalies to pins.
@@ -380,7 +428,7 @@ v0.9.7 turns ShadowBroker from a dashboard a human watches into an intelligence
 * **Intelligence Reports** — Generate structured reports with summary stats, top military flights, correlations, earthquake activity, SIGINT counts, and pin inventories.
 * **Auditable** — Every channel call is logged; the operator can introspect what the agent has done.
 
-**Connect an agent:** Open the AI Intel panel in the left sidebar, click **Connect Agent**, and copy the HMAC secret. From there, point any compatible agent at the channel — for OpenClaw, import `ShadowBrokerClient` from the OpenClaw skill package; for any other agent, use the same HMAC contract documented above (timestamp + nonce + body digest, tier-gated). The channel is the protocol, not the agent.
+**Connect an agent:** Open the AI Intel panel in the left sidebar, click **Connect Agent**, and copy the HMAC secret. From there, point any compatible agent at the channel — for OpenClaw, import `ShadowBrokerClient` from `openclaw-skills/shadowbroker/sb_query.py` (see `SKILL.md` for examples); for any other agent, use the same HMAC contract documented above (timestamp + nonce + body digest, tier-gated). Discovery: `GET /api/ai/tools` and `GET /api/ai/capabilities`. The channel is the protocol, not the agent.
 
 ### ⏱️ Time Machine — Snapshot Playback (NEW in v0.9.7)
 
@@ -529,9 +577,20 @@ ShadowBroker v0.9.7 is composed of three vertically-stacked planes — the **Ope
 | [GDELT Project](https://www.gdeltproject.org) | Global conflict events | ~6h | No |
 | [DeepState Map](https://deepstatemap.live) | Ukraine frontline | ~30min | No |
 | [Shodan](https://www.shodan.io) | Internet-connected device search | On-demand | **Yes** |
+| [OpenSanctions](https://www.opensanctions.org) | OFAC SDN sanctions index (recon + entity graph) | 24h cache | No |
+| [abuse.ch Feodo + URLhaus](https://abuse.ch) | Malware C2 / distribution URLs | ~5min (opt-in layer) | No |
+| [CISA KEV](https://www.cisa.gov/known-exploited-vulnerabilities-catalog) | Known exploited CVEs | ~5min (opt-in layer) | No |
+| [ip-api.com](https://ip-api.com) | IP geolocation (recon, entity graph) | On-demand | No |
+| [Google Public DNS](https://dns.google) | DNS-over-HTTPS lookups (recon) | On-demand | No |
+| [RDAP.org](https://rdap.org) | Domain registration data (recon) | On-demand | No |
+| [crt.sh](https://crt.sh) | Certificate transparency (recon) | On-demand | No |
+| [bgpview.io](https://bgpview.io) | BGP/ASN routing (recon) | On-demand | No |
+| TeleGeography (static) | Submarine cable routes | Static | No |
+| [ASFINAG](https://www.asfinag.at) | Austria motorway webcams | ~10min | No |
 | [Amtrak](https://www.amtrak.com) | US train positions | ~60s | No |
 | [DigiTraffic](https://www.digitraffic.fi) | European rail positions | ~60s | No |
-| [Global Fishing Watch](https://globalfishingwatch.org) | Fishing vessel activity events | ~10min | No |
+| [Global Fishing Watch](https://globalfishingwatch.org) | Fishing vessel activity events | ~1hr | **Yes** (`GFW_API_TOKEN`) |
+| [Telegram public previews](https://t.me/s) | War/OSINT channel posts (`telegram_osint`) | ~1hr | No (optional `TELEGRAM_OSINT_CHANNELS`) |
 | Transport for London, NYC DOT, TxDOT | CCTV cameras (UK, US) | ~10min | No |
 | Caltrans, WSDOT, GDOT, IDOT, MDOT | CCTV cameras (5 US states) | ~10min | No |
 | Spain DGT, Madrid City | CCTV cameras (Spain) | ~10min | No |
@@ -563,6 +622,8 @@ ShadowBroker v0.9.7 is composed of three vertically-stacked planes — the **Ope
 | [OSM Nominatim](https://nominatim.openstreetmap.org) | Place name geocoding (LOCATE bar) | On-demand | No |
 | [CARTO Basemaps](https://carto.com) | Dark map tiles | Continuous | No |
 
+**Outbound privacy & audit (#348–#366):** Each self-hosted install uses its own backend IP and per-install User-Agent handle. See [docs/OUTBOUND_DATA.md](docs/OUTBOUND_DATA.md) for what contacts third parties, opt-in/env controls, and accepted tradeoffs (CCTV Referer, basemap CDN, LiveUAMap, etc.).
+
 ---
 
 ## 🚀 Getting Started
@@ -584,9 +645,16 @@ Open `http://localhost:3000` to view the dashboard.
 > **Deploying publicly or on a LAN?** No configuration needed for most setups.
 > The frontend proxies all API calls through the Next.js server to `BACKEND_URL`,
 > which defaults to `http://backend:8000` (Docker internal networking).
-> Host port `8000` is only published for local API/debug access. If it conflicts
-> with another service, set `BACKEND_PORT=8001` in `.env`; leave `BACKEND_URL`
-> as `http://backend:8000` because that is the Docker-internal port.
+> Host port `8000` is only published for local API/debug access (`127.0.0.1:8000`
+> in `docker-compose.yml`). If it conflicts with another service, set
+> `BACKEND_PORT=8001` in `.env`; leave `BACKEND_URL` as `http://backend:8000`
+> because that is the Docker-internal port.
+>
+> **Running the backend outside Docker** (`cd backend && python main.py`):
+> the dev server binds **loopback only** (`127.0.0.1:8000`) so other machines on
+> your LAN cannot hit admin/local-trust routes with an empty `ADMIN_KEY`. Set
+> `SHADOWBROKER_DEV_BIND_ALL=true` in `.env` only when you deliberately need
+> `0.0.0.0` and use a strong `ADMIN_KEY` for any non-local callers.
 > The backend memory cap is controlled by `BACKEND_MEMORY_LIMIT` and defaults
 > to `4G`. If Docker reports OOM events, the backend will restart and slow
 > layers can look empty until they repopulate.
@@ -798,7 +866,7 @@ AIS-catcher decodes VHF radio signals on 161.975 MHz and 162.025 MHz and POSTs d
 
 ## 🎛️ Data Layers
 
-All 37 layers are independently toggleable from the left panel:
+All 41 layers are independently toggleable from the left panel:
 
 | Layer | Default | Description |
 |---|---|---|
@@ -840,6 +908,24 @@ All 37 layers are independently toggleable from the left panel:
 | VIIRS Nightlights | ❌ OFF | Night-time light change detection |
 | Power Plants | ❌ OFF | 35,000+ global power plants |
 | Shodan Overlay | ❌ OFF | Internet device search results |
+| Road Freight Trends | ❌ OFF | Sentinel-2 truck-motion trends on major highways (Analyze Here) |
+| Submarine Cables | ❌ OFF | Global undersea cable routes (static GeoJSON) |
+| Malware C2 | ❌ OFF | abuse.ch Feodo + URLhaus threat points |
+| SCM Suppliers | ❌ OFF | Tier 1/2 supply-chain risk markers + panel alerts |
+| Cyber Threats | ❌ OFF | Recent CISA KEV entries (stats in slow-tier payload) |
+| Telegram OSINT | ✅ ON | Public war/OSINT Telegram channels — hourly scrape, geoparsed pins |
+| SAR | ✅ ON | Synthetic aperture radar catalog + anomaly alerts |
+
+**Recon & entity tools** (not map layers — left sidebar / selection):
+
+| Tool | Dashboard access | OpenClaw command | Description |
+|---|---|---|---|
+| Recon Toolkit | Local operator (`/api/osint/*`) | `osint_lookup`, `osint_sweep`† | IP, DNS, WHOIS, certs, BGP, sanctions, CVE, MAC, GitHub, leaks, threats, subnet sweep |
+| Entity Graph | Local operator (`/api/entity/expand`) | `entity_expand` | Wikidata + OFAC + live-store relationship graph |
+| SCM Risk panel | Local operator (`/api/scm-suppliers`) | `get_layer_slice(["scm_suppliers"])` | Supplier threat rollup + map markers |
+| Tool discovery | — | `osint_tools` | Lists recon lookup types and entity-expand schemas |
+
+† `osint_sweep` (active InternetDB scan) requires `OPENCLAW_ACCESS_TIER=full`.
 
 ---
 
@@ -863,6 +949,7 @@ The platform is optimized for handling massive real-time datasets:
 
 ```
 Shadowbroker/
+├── openclaw-skills/shadowbroker/   # OpenClaw skill — SKILL.md, sb_query.py client, alerts/monitor helpers
 ├── backend/
 │   ├── main.py                     # FastAPI app, middleware, API routes (~4,000 lines)
 │   ├── cctv.db                     # SQLite CCTV camera database (auto-generated)
@@ -872,7 +959,18 @@ Shadowbroker/
 │   │   ├── data_fetcher.py         # Core scheduler — orchestrates all data sources
 │   │   ├── ais_stream.py           # AIS WebSocket client (25K+ vessels)
 │   │   ├── carrier_tracker.py      # OSINT carrier position estimator (GDELT news scraping)
-│   │   ├── cctv_pipeline.py        # 13-source CCTV camera ingestion pipeline
+│   │   ├── cctv_pipeline.py        # 14-source CCTV camera ingestion pipeline
+│   │   ├── ssrf_guard.py           # SSRF validation for operator recon fetches
+│   │   ├── sanctions/ofac.py       # OpenSanctions OFAC SDN index
+│   │   ├── osint/lookups.py        # Server-side recon lookups (Osiris port)
+│   │   ├── osint/openclaw_recon.py # OpenClaw dispatch for recon + entity_expand
+│   │   ├── osint_intel/resolve.py  # Entity graph resolver (Wikidata + OFAC)
+│   │   ├── scm/suppliers.py        # Supply-chain risk overlay
+│   │   ├── intel_feeds/            # Country risk index helpers
+│   │   ├── fetchers/malware.py     # abuse.ch Feodo + URLhaus
+│   │   ├── fetchers/cyber_status.py # CISA KEV feed
+│   │   ├── fetchers/telegram_osint.py # Public Telegram channel scrape + geoparse
+│   │   ├── third_party/osiris/     # MIT attribution for Osiris-derived code
 │   │   ├── geopolitics.py          # GDELT + Ukraine frontline + air alerts
 │   │   ├── region_dossier.py       # Right-click country/city intelligence
 │   │   ├── radio_intercept.py      # Police scanner feeds + OpenMHZ
@@ -910,7 +1008,14 @@ Shadowbroker/
 │   │       ├── mesh_reputation.py  # Node reputation scoring
 │   │       ├── mesh_oracle.py      # Oracle consensus protocol
 │   │       └── mesh_secure_storage.py # Secure credential storage
+│   ├── routers/
+│   │   ├── osint.py                # /api/osint/* recon routes (local operator)
+│   │   ├── entity_graph.py         # /api/entity/expand
+│   │   ├── scm.py                  # /api/scm-suppliers
+│   │   └── intel_feeds.py          # /api/malware, /api/cyber-threats, /api/telegram-feed, /api/country-risk
 ├── frontend/
+│   ├── public/data/
+│   │   └── submarine-cables.json   # Static undersea cable GeoJSON
 │   ├── src/
 │   │   ├── app/
 │   │   │   └── page.tsx            # Main dashboard — state, polling, layout
@@ -919,7 +1024,12 @@ Shadowbroker/
 │   │       ├── MeshChat.tsx        # InfoNet / Mesh / Dead Drop chat panel
 │   │       ├── MeshTerminal.tsx    # Draggable CLI terminal
 │   │       ├── NewsFeed.tsx        # SIGINT feed + entity detail panels
-│   │       ├── WorldviewLeftPanel.tsx   # Data layer toggles (35+ layers)
+│   │       ├── WorldviewLeftPanel.tsx   # Data layer toggles (40+ layers)
+│   │       ├── ShodanPanel.tsx          # Shodan device search overlay
+│   │       ├── ReconPanel.tsx           # Server-side OSINT recon toolkit
+│   │       ├── ScmPanel.tsx             # Supply-chain risk command panel
+│   │       ├── EntityGraphPanel.tsx     # Entity graph on map selection
+│   │       ├── MaplibreViewer/popups/TelegramOsintPopup.tsx  # Threat-intercept styled Telegram pin popups
 │   │       ├── WorldviewRightPanel.tsx  # Search + filter sidebar
 │   │       ├── AdvancedFilterModal.tsx  # Airport/country/owner filtering
 │   │       ├── MapLegend.tsx       # Dynamic legend with all icons
@@ -956,6 +1066,9 @@ MESH_SAR_EARTHDATA_TOKEN=                     # NASA Earthdata token (paired wit
 MESH_SAR_COPERNICUS_USER=                     # Copernicus Data Space user (SAR Mode B — EGMS / EMS)
 MESH_SAR_COPERNICUS_TOKEN=                    # Copernicus token (paired with user above)
 OPENCLAW_ACCESS_TIER=restricted               # OpenClaw agent tier: "restricted" (read-only) or "full"
+GFW_API_TOKEN=your_gfw_token                  # Global Fishing Watch — fishing_activity layer (Settings → Maritime)
+TELEGRAM_OSINT_ENABLED=true                   # Telegram OSINT layer (default on)
+TELEGRAM_OSINT_CHANNELS=osintdefender,...     # Comma-separated public channel slugs (see .env.example)
 
 # Private-lane privacy-core pinning (required when Arti or RNS is enabled)
 PRIVACY_CORE_MIN_VERSION=0.1.0

backend/.env.example

@@ -11,6 +11,22 @@ AIS_API_KEY=              # https://aisstream.io/ — free tier WebSocket key
 
 # ── Optional ───────────────────────────────────────────────────
 
+# AISHub REST fallback. Used when stream.aisstream.io is unreachable
+# (e.g. their cert expires or server goes offline). Free tier requires
+# registration at https://www.aishub.net/api. Poll cadence defaults to
+# 20 min to stay courteous; tunable via AISHUB_POLL_INTERVAL_MINUTES.
+# AISHUB_USERNAME=
+# AISHUB_POLL_INTERVAL_MINUTES=20
+
+# `python main.py` (uvicorn reload) binds 127.0.0.1:8000 by default so LAN clients
+# cannot reach a dev server with empty ADMIN_KEY (#375). Set true only when you
+# intentionally need 0.0.0.0 and understand the local-trust implications.
+# SHADOWBROKER_DEV_BIND_ALL=false
+#
+# Thread pool for GDELT, LiveUAMap, CCTV ingest, and slow-tier refresh batches.
+# Keeps heavy jobs from starving fast flight/ship workers (default 2).
+# SHADOWBROKER_HEAVY_FETCH_WORKERS=2
+
 # Override allowed CORS origins (comma-separated). Defaults to localhost + LAN auto-detect.
 # CORS_ORIGINS=http://192.168.1.50:3000,https://my-domain.com
 
@@ -24,11 +40,9 @@ AIS_API_KEY=              # https://aisstream.io/ — free tier WebSocket key
 # Requires MESH_DEBUG_MODE=true; do not enable this for ordinary use.
 # ALLOW_INSECURE_ADMIN=false
 
-# Per-install operator handle. Round 7a: every outbound third-party API
-# call (Wikipedia, Wikidata, Nominatim, GDELT, OpenMHz, Broadcastify,
-# weather.gov, NUFORC, etc.) includes this handle in the User-Agent so
-# upstreams can rate-limit / contact the specific install instead of
-# treating every Shadowbroker user as one entity.
+# Per-install operator handle. Round 7a: outbound third-party API calls send
+# this handle as the User-Agent (e.g. operator-7f3a92), not a shared app name,
+# so upstreams rate-limit one install instead of blocking every user.
 #
 # Default empty -> a stable pseudonymous handle (e.g. "operator-7f3a92") is
 # auto-generated on first run and persisted to backend/data/operator_handle.json.
@@ -36,10 +50,8 @@ AIS_API_KEY=              # https://aisstream.io/ — free tier WebSocket key
 # set it here. Special characters are sanitized to dashes.
 # OPERATOR_HANDLE=
 
-# Default outbound User-Agent for all third-party HTTP fetchers. Operators
-# who run a public relay and want a completely custom UA can set this; it
-# bypasses the per-operator helper entirely. Most installs should leave it
-# unset and use OPERATOR_HANDLE instead.
+# Full User-Agent override (replaces the operator handle entirely). Rare;
+# most installs should use OPERATOR_HANDLE only.
 # SHADOWBROKER_USER_AGENT=
 
 # Nominatim-specific User-Agent override (OSM usage policy). Leave unset to
@@ -59,20 +71,48 @@ AIS_API_KEY=              # https://aisstream.io/ — free tier WebSocket key
 # FIMI_ENABLED=false
 #
 # Polymarket + Kalshi — US political/election prediction markets.
+# Default off; enable from Global Threat Intercept (MKT toggle) or set true here.
 # PREDICTION_MARKETS_ENABLED=false
+# When enabled, polls use a jittered schedule (not the fixed 5-minute slow tier):
+# PREDICTION_MARKETS_INTERVAL_MINUTES=7
+# PREDICTION_MARKETS_SCHEDULER_JITTER_S=240
+# PREDICTION_MARKETS_INITIAL_DELAY_MAX_S=180
+# PREDICTION_MARKETS_PRE_FETCH_JITTER_S=90
+# PREDICTION_MARKETS_PROVIDER_GAP_JITTER_S=45
+# MESH_POLYMARKET_PAGE_DELAY_JITTER_S=0.08
+# MESH_KALSHI_PAGE_DELAY_JITTER_S=0.2
 #
 # Finnhub fallback / yfinance — financial market data.
 # Set FINNHUB_API_KEY to enable Finnhub, or set FINANCIAL_ENABLED=true to allow
 # the unauthenticated yfinance fallback to call Yahoo Finance.
 # FINANCIAL_ENABLED=false
 #
-# NUFORC UAP sightings — huggingface.co dataset download.
+# NUFORC UAP map layer — live scrape from nuforc.org (rolling window, default 60 days).
+# Refreshed weekly (Mon 12:00 UTC); cache reused for up to 7 days between runs.
+# NUFORC_RECENT_DAYS=60
+# NUFORC_CACHE_TTL_HOURS=168
+# On Windows, live scrape uses Python requests by default; optional:
+# SHADOWBROKER_ENABLE_WINDOWS_CURL_FALLBACK=true
+# NUFORC enrichment index (HF dataset) is separate — opt-in only:
 # NUFORC_ENABLED=false
 #
 # News RSS aggregator — defaults ON. Set to "false" to disable all
 # configured news feeds (kill switch for the news layer).
 # NEWS_ENABLED=true
 
+# Global Fishing Watch — fishing vessel activity events (Fishing Activity map layer).
+# Free API token from https://globalfishingwatch.org/our-apis/tokens
+# Without this the fishing_activity layer stays empty.
+# GFW_API_TOKEN=
+# Optional tuning — GFW can return 40k+ global events; defaults cap fetch for map paint.
+# GFW_EVENTS_PAGE_SIZE=500
+# GFW_EVENTS_MAX_PAGES=10
+# GFW_EVENTS_LOOKBACK_DAYS=7
+# GFW_EVENTS_TIMEOUT_S=90
+
+# Windy Webcams global CCTV layer — free key from https://api.windy.com/webcams/docs
+# WINDY_API_KEY=
+
 # LTA Singapore traffic cameras — leave blank to skip this data source.
 # LTA_ACCOUNT_KEY=
 
@@ -80,6 +120,12 @@ AIS_API_KEY=              # https://aisstream.io/ — free tier WebSocket key
 # Free MAP_KEY from https://firms.modaps.eosdis.nasa.gov/map/#d:24hrs;@0.0,0.0,3.0z
 # FIRMS_MAP_KEY=
 
+# Ukraine frontline mirror (GitHub). Default follows cyterat/deepstate-map-data@main.
+# Pin an immutable commit SHA so ingest cannot silently change if main is force-pushed (#362).
+# Example (verify on GitHub before use): main @ b479954e94696bc5622c7818fd20a64a699f4fe8
+# DEEPSTATE_MIRROR_COMMIT=b479954e94696bc5622c7818fd20a64a699f4fe8
+# DEEPSTATE_MIRROR_REPO=cyterat/deepstate-map-data
+
 # Ukraine air raid alerts from alerts.in.ua — free token from https://alerts.in.ua/
 # ALERTS_IN_UA_TOKEN=
 
@@ -109,12 +155,16 @@ AIS_API_KEY=              # https://aisstream.io/ — free tier WebSocket key
 # can identify per-install traffic instead of aggregated "ShadowBroker" hits.
 # Leave blank to send a generic UA. If you set MESHTASTIC_OPERATOR_CALLSIGN,
 # it is included in outbound headers to meshtastic.org by default so they
-# can rate-limit per-operator. Set MESHTASTIC_SEND_CALLSIGN_HEADER=false to
-# suppress the callsign while still using it locally (e.g. for APRS).
+# can rate-limit per-operator. Callsign is NOT sent upstream unless you opt in.
 # MESHTASTIC_OPERATOR_CALLSIGN=
-# MESHTASTIC_SEND_CALLSIGN_HEADER=true
+# MESHTASTIC_SEND_CALLSIGN_HEADER=false
 # MESH_MQTT_PSK=                       # hex-encoded, empty = default LongFast key
 
+# LiveUAMap Playwright scraper (#348). Linux/macOS: on by default when Global
+# Incidents layer is active. Windows: off until the operator enables Global
+# Incidents in the UI (consent dialog) or sets SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=true.
+# SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=false forces off on all platforms.
+
 # ── Mesh / Reticulum (RNS) ─────────────────────────────────────
 # Full-node / participant-node posture for public Infonet sync.
 # MESH_NODE_MODE=participant      # participant | relay | perimeter

backend/Dockerfile

@@ -45,7 +45,7 @@ COPY uv.lock /workspace/uv.lock
 COPY backend/pyproject.toml /workspace/backend/pyproject.toml
 
 # Install Python dependencies using the lockfile
-RUN cd /workspace/backend && uv sync --frozen --no-dev \
+RUN cd /workspace/backend && uv sync --frozen --no-dev --extra road-corridor \
     && playwright install --with-deps chromium
 
 # Copy backend source code

backend/auth.py

@@ -113,8 +113,14 @@ def _scoped_admin_tokens() -> dict[str, list[str]]:
     return normalized
 
 
+def _request_scope_path(request: Request) -> str:
+    """Return the ASGI request-line path, not the Host-derived URL path."""
+    scope = getattr(request, "scope", {}) or {}
+    return str(scope.get("path") or "")
+
+
 def _required_scope_for_request(request: Request) -> str:
-    path = str(request.url.path or "")
+    path = _request_scope_path(request)
     if path.startswith("/api/wormhole/gate/"):
         return "gate"
     if path.startswith("/api/wormhole/dm/"):
@@ -443,7 +449,7 @@ async def _verify_openclaw_hmac(request: Request) -> bool:
 
     # Compute expected signature: HMAC-SHA256(secret, METHOD|path|ts|nonce|body_digest)
     method = str(request.method or "").upper()
-    path = str(request.url.path or "")
+    path = _request_scope_path(request)
     message = f"{method}|{path}|{ts_str}|{nonce}|{body_digest}"
     expected = hmac.new(
         secret.encode("utf-8"),
@@ -515,33 +521,32 @@ _KNOWN_COMPROMISED_PEER_PUSH_SECRET_SHA256 = (
 def _validate_admin_startup() -> None:
     admin_key = _current_admin_key()
 
-    if not admin_key or len(admin_key) < 32:
-        import secrets
+    if not admin_key:
+        logger.warning(
+            "ADMIN_KEY is not set. Local-operator/admin endpoints will reject "
+            "remote callers until ADMIN_KEY is configured."
+        )
+        return
 
-        reason = "not set" if not admin_key else f"too short ({len(admin_key)} chars, minimum 32)"
-        new_key = secrets.token_hex(32)  # 64-char hex string
+    if len(admin_key) < 32:
+        reason = f"too short ({len(admin_key)} chars, minimum 32)"
         try:
-            from routers.ai_intel import _write_env_value
-
-            _write_env_value("ADMIN_KEY", new_key)
-            os.environ["ADMIN_KEY"] = new_key
-            logger.info(
-                "ADMIN_KEY was %s — auto-generated a strong 64-character key and "
-                "saved it to .env. Admin/mesh endpoints are now secured.",
-                reason,
-            )
-            # Clear settings cache so the rest of startup picks up the new key
-            try:
-                get_settings.cache_clear()
-            except Exception:
-                pass
-        except Exception as exc:
+            debug_mode = bool(getattr(get_settings(), "MESH_DEBUG_MODE", False))
+        except Exception:
+            debug_mode = False
+        if debug_mode:
             logger.warning(
-                "ADMIN_KEY is %s and could not auto-generate: %s. "
-                "Admin/mesh endpoints may be unavailable.",
+                "ADMIN_KEY is %s. Debug mode is enabled, so startup will continue, "
+                "but production deployments must use a 32+ character key.",
                 reason,
-                exc,
             )
+            return
+        logger.error(
+            "ADMIN_KEY is %s. Refusing to start because auto-generating a backend-only "
+            "replacement would desynchronize the frontend and backend containers.",
+            reason,
+        )
+        raise SystemExit(1)
 
 
 def _validate_insecure_admin_startup() -> None:
@@ -744,8 +749,7 @@ def _is_debug_test_request(request: Request) -> bool:
     if not _debug_mode_enabled():
         return False
     client_host = (request.client.host or "").lower() if request.client else ""
-    url_host = (request.url.hostname or "").lower() if request.url else ""
-    return client_host == "test" or url_host == "test"
+    return client_host == "test"
 
 
 # ---------------------------------------------------------------------------
@@ -1397,10 +1401,7 @@ def _peer_hmac_url_from_request(request: Request) -> str:
     header_url = normalize_peer_url(str(request.headers.get("x-peer-url", "") or ""))
     if header_url:
         return header_url
-    if not request.url:
-        return ""
-    base_url = f"{request.url.scheme}://{request.url.netloc}".rstrip("/")
-    return normalize_peer_url(base_url)
+    return ""
 
 
 def _verify_peer_push_hmac(request: Request, body_bytes: bytes) -> bool:

backend/config/news_feeds.json

@@ -7,7 +7,7 @@
     },
     {
       "name": "BBC",
-      "url": "http://feeds.bbci.co.uk/news/world/rss.xml",
+      "url": "https://feeds.bbci.co.uk/news/world/rss.xml",
       "weight": 3
     },
     {
@@ -47,7 +47,7 @@
     },
     {
       "name": "Xinhua",
-      "url": "http://www.news.cn/english/rss/worldrss.xml",
+      "url": "https://www.news.cn/english/rss/worldrss.xml",
       "weight": 2
     },
     {

backend/data/drishx/rf_model.pickle

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72b69418aa860a0d92ccae398a08722bc85e64a992b5515dd7bf9ae9f79f2fd1
+size 107194128

backend/data/release_digests.json

@@ -36,5 +36,20 @@
     "ShadowBroker_v0.9.79.zip": "f6877c1d66614525315ea82636ce9f7b41178332c4dbf90d27431a1ea1d9cd47",
     "ShadowBroker_0.9.79_x64-setup.exe": "f7b676ada45cac7da05868b0a353678c9ee700e3abcf456a7c0c038c36da446f",
     "ShadowBroker_0.9.79_x64_en-US.msi": "e0713c3cdda184cfbea750bfac0d62a35678fec00847e6476f2cac8e7e42046e"
+  },
+  "v0.9.8": {
+    "ShadowBroker_v0.9.8.zip": "183bb5cd62b9b9349d95df5ef7696cb6ca810ab4b991fa9dab6f898af4c7a175",
+    "ShadowBroker_0.9.8_x64-setup.exe": "94a0309862e9c81c92cdcbfea8eec9dbb97eef19ded82b26217b397defbc810c",
+    "ShadowBroker_0.9.8_x64_en-US.msi": "fe22f9d51e4360d74c18a7250c2fbb9ed4fa4c7a884b3ac0d04a21115466386b"
+  },
+  "v0.9.81": {
+    "ShadowBroker_v0.9.81.zip": "f81f454bdc88e9a32c351df38212b8cfa624704d65764b971bb091eef62259c6",
+    "ShadowBroker_0.9.81_x64-setup.exe": "25e9a95d0d8ce959a7d08fe8e7406772ae24b596652793e81d1de5d02510a5a6",
+    "ShadowBroker_0.9.81_x64_en-US.msi": "34e655fc0c0f195ee4ac978f228a4b2b9d5565253b8771aca9ef4693409e9e70"
+  },
+  "v0.9.82": {
+    "ShadowBroker_v0.9.82.zip": "202ab043465741dcc06de57c19ec8314904332f8e818b891d7174655719d084c",
+    "ShadowBroker_0.9.82_x64-setup.exe": "0eb9f2bda02ab691b39687641abc97e6bfb507b42f48de21970ad7dfb4ea15fc",
+    "ShadowBroker_0.9.82_x64_en-US.msi": "ced08f930171c0c08009a958cc30b0171a09f982230fc217c6808c2ed7ab2e30"
   }
 }

backend/pyproject.toml

@@ -7,15 +7,15 @@ py-modules = []
 
 [project]
 name = "backend"
-version = "0.9.79"
+version = "0.9.82"
 requires-python = ">=3.10"
 dependencies = [
     "apscheduler==3.10.3",
     "beautifulsoup4>=4.9.0",
     "cachetools==5.5.2",
-    "cryptography>=41.0.0",
+    "cryptography>=46.0.7",
     "defusedxml>=0.7.1",
-    "fastapi==0.115.12",
+    "fastapi==0.136.3",
     "feedparser==6.0.10",
     "httpx==0.28.1",
     "playwright==1.59.0",
@@ -24,7 +24,7 @@ dependencies = [
     "pydantic-settings==2.8.1",
     "pystac-client==0.8.6",
     "python-dotenv==1.2.2",
-    "requests==2.31.0",
+    "requests==2.33.0",
     "PySocks==1.7.1",
     "reverse-geocoder==1.5.1",
     "sgp4==2.25",
@@ -33,17 +33,29 @@ dependencies = [
     "paho-mqtt>=1.6.0,<2.0.0",
     "PyNaCl>=1.5.0",
     "slowapi==0.1.9",
+    "starlette==1.0.1",
     "vaderSentiment>=3.3.0",
     "uvicorn==0.34.0",
     "yfinance==1.3.0",
 ]
 
+[project.optional-dependencies]
+road-corridor = [
+    "geopandas>=1.0.0",
+    "imageio>=2.34.0",
+    "osmnx>=2.0.0",
+    "rasterio>=1.4.0",
+    "scikit-learn>=1.5.0",
+    "sentinelhub>=3.10.0",
+    "shapely>=2.0.0",
+]
+
 [dependency-groups]
-dev = ["pytest>=8.3.4", "pytest-asyncio==0.25.0", "ruff>=0.9.0", "black>=24.0.0"]
+dev = ["pytest>=9.0.3", "pytest-asyncio>=1.4.0", "ruff>=0.9.0", "black>=24.0.0"]
 
 [tool.ruff.lint]
 # The current backend carries historical style debt in large legacy modules.
-# Keep CI focused on actionable correctness checks for the v0.9.79 release.
+# Keep CI focused on actionable correctness checks for the v0.9.82 release.
 ignore = ["E401", "E402", "E701", "E731", "E741", "F401", "F402", "F541", "F811", "F841"]
 
 [tool.black]

backend/routers/ai_intel.py

@@ -1590,7 +1590,7 @@ async def agent_tool_manifest(request: Request):
 
     return {
         "ok": True,
-        "version": "0.9.79",
+        "version": "0.9.82",
         "access_tier": access_tier,
         "available_commands": available_commands,
         "transport": {
@@ -1705,11 +1705,12 @@ async def agent_tool_manifest(request: Request):
             {
                 "name": "search_news",
                 "type": "read",
-                "description": "Search news and event layers server-side by keyword. Includes news, GDELT, CrowdThreat, and major incident/event feeds without pulling the full slow telemetry feed.",
+                "description": "Search news and event layers server-side by keyword. Includes news, GDELT, CrowdThreat, Telegram OSINT, and major incident/event feeds without pulling the full slow telemetry feed.",
                 "parameters": {
                     "query": {"type": "string", "required": True, "description": "Keyword or phrase to search for"},
                     "limit": {"type": "integer", "required": False, "description": "Max results (default 10, max 50)"},
                     "include_gdelt": {"type": "boolean", "required": False, "description": "Include GDELT matches (default true)"},
+                    "include_telegram": {"type": "boolean", "required": False, "description": "Include Telegram OSINT channel posts (default true)"},
                     "compact": {"type": "boolean", "required": False, "description": "If true, strips empty/None fields from each result and rounds lat/lng to 3 decimals. Response includes format: 'compressed_v1'."},
                 },
                 "returns": "{results: [{source_layer, title, summary, source, link, lat, lng, risk_score}], version: int, truncated: bool}",
@@ -1743,6 +1744,55 @@ async def agent_tool_manifest(request: Request):
                 },
                 "returns": "{center, radius_km, nearby, topic_news, context_layers}",
             },
+            {
+                "name": "osint_lookup",
+                "type": "read",
+                "description": "Run a passive OSINT recon lookup server-side (same backends as the Recon panel). SSRF-guarded outbound proxies for IP geolocation, DNS, WHOIS, certs, BGP/ASN, sanctions, CVE, MAC vendor, GitHub profile, breach checks, and threat feeds.",
+                "parameters": {
+                    "tool": {"type": "string", "required": True, "description": "Lookup type: ip, dns, whois, certs, threats, bgp, sanctions, cve, mac, github, leaks, sweep_init"},
+                    "ip": {"type": "string", "required": False, "description": "IPv4/IPv6 for ip or sweep_init"},
+                    "domain": {"type": "string", "required": False, "description": "Domain for dns, whois, certs"},
+                    "query": {"type": "string", "required": False, "description": "Generic query (BGP ASN, sanctions name, optional threats filter)"},
+                    "cve": {"type": "string", "required": False, "description": "CVE id for cve lookup"},
+                    "mac": {"type": "string", "required": False, "description": "MAC address for mac lookup"},
+                    "username": {"type": "string", "required": False, "description": "GitHub username"},
+                    "email": {"type": "string", "required": False, "description": "Email for breach/leak lookup"},
+                    "schema": {"type": "string", "required": False, "description": "Sanctions schema filter: Person, Organization, Company, Vessel, Airplane, LegalEntity"},
+                    "limit": {"type": "integer", "required": False, "description": "Sanctions result cap (default 25, max 100)"},
+                    "cidr": {"type": "integer", "required": False, "description": "CIDR mask for sweep_init (24-32, default 24)"},
+                },
+                "returns": "Tool-specific JSON (geo, DNS records, WHOIS, sanctions hits, CVE details, etc.)",
+            },
+            {
+                "name": "osint_tools",
+                "type": "read",
+                "description": "List available OSINT recon tools, entity-expand types, and sanctions schemas.",
+                "parameters": {},
+                "returns": "{tools: [...], entity_types: [...], sanctions_schemas: [...], notes: {...}}",
+            },
+            {
+                "name": "entity_expand",
+                "type": "read",
+                "description": "Expand an entity relationship graph around an aircraft, vessel, IP, company, person, or country. Same backend as /api/entity/expand.",
+                "parameters": {
+                    "type": {"type": "string", "required": True, "description": "Entity type: aircraft, vessel, company, person, ip, country"},
+                    "id": {"type": "string", "required": True, "description": "Entity identifier (tail number, MMSI, IP, company name, etc.)"},
+                    "registration": {"type": "string", "required": False, "description": "Aircraft registration hint"},
+                    "model": {"type": "string", "required": False, "description": "Aircraft model hint"},
+                    "icao24": {"type": "string", "required": False, "description": "ICAO24 hex for aircraft"},
+                },
+                "returns": "{nodes: [...], links: [...]}",
+            },
+            {
+                "name": "osint_sweep",
+                "type": "write",
+                "description": "Active subnet device discovery via Shodan InternetDB (ports, vulns, hostnames). Requires full OpenClaw access tier. Private/reserved IPs blocked.",
+                "parameters": {
+                    "ip": {"type": "string", "required": True, "description": "Public IPv4 anchor for the sweep"},
+                    "cidr": {"type": "integer", "required": False, "description": "Subnet size /24-/32 (default 24)"},
+                },
+                "returns": "{center, target_ip, cidr, subnet, devices, summary, sweep_time_ms}",
+            },
             {
                 "name": "what_changed",
                 "type": "read",
@@ -2194,6 +2244,11 @@ async def agent_tool_manifest(request: Request):
             "Prefer compact lookups first: search_telemetry, find_flights, find_ships, search_news, entities_near, get_layer_slice. Use get_telemetry/get_slow_telemetry/get_report only when focused commands are insufficient.",
             "ShadowBroker does expose UAP sightings, wastewater, and tracked_flights/VIP aircraft when those layers are populated. Verify with get_summary or get_layer_slice before claiming a layer is absent.",
             "ShadowBroker also exposes fishing_activity, which is the fishing-vessel activity layer backed by Global Fishing Watch data when GFW_API_TOKEN is configured. Do not confuse it with the AIS ships layer.",
+            "telegram_osint, malware_threats, cyber_threats, and scm_suppliers are live map layers. Use get_summary or get_layer_slice(['telegram_osint']) before claiming they are absent. Aliases: telegram, malware/botnet, cyber/cisa/kev, scm/suppliers.",
+            "search_telemetry and search_news both index Telegram OSINT posts. For malware C2, botnet IPs, CISA KEV CVEs, or semiconductor suppliers, use search_telemetry or get_layer_slice on the matching layer.",
+            "The Recon toolkit is available via osint_lookup: IP geolocation, DNS, WHOIS, certs, BGP, sanctions, CVE, MAC vendor, GitHub, breach checks, threat feeds. Call osint_tools first to list supported tools.",
+            "entity_expand builds relationship graphs for aircraft, vessels, IPs, companies, people, and countries — use after resolving an entity from telemetry or osint_lookup.",
+            "osint_sweep runs active subnet discovery (Shodan InternetDB) and requires full OpenClaw access tier. Use osint_lookup tool=sweep_init for passive geolocation context only.",
             "Use search_telemetry as the Google-style entry point whenever the user gives you a person, place, company, topic, owner, nickname, or natural-language phrase and you do not already know the source layer.",
             "Example: for 'Where is Jerry Jones yacht?' search 'Jerry Jones' across all telemetry first, identify the ship match, then refine with find_ships or raw layer context only if needed.",
             "For fuzzy natural-language lookups like 'Patriots jet' or 'Jerry Jones yacht', use search_telemetry first and inspect the ranked candidate list before making a hard claim.",
@@ -2226,7 +2281,7 @@ async def api_capabilities(request: Request):
     access_tier = str(get_settings().OPENCLAW_ACCESS_TIER or "restricted").strip().lower()
     return {
         "ok": True,
-        "version": "0.9.79",
+        "version": "0.9.82",
         "auth": {
             "method": "HMAC-SHA256",
             "headers": ["X-SB-Timestamp", "X-SB-Nonce", "X-SB-Signature"],
@@ -2354,13 +2409,29 @@ async def api_capabilities(request: Request):
                     "description": "Universal compact search across telemetry when the entity type or source layer is not obvious.",
                 },
                 "search_news": {
-                    "args": {"query": "str", "limit": "int (default 10)", "include_gdelt": "bool (default true)"},
-                    "description": "Search news and event layers by keyword without pulling the whole slow feed.",
+                    "args": {"query": "str", "limit": "int (default 10)", "include_gdelt": "bool (default true)", "include_telegram": "bool (default true)"},
+                    "description": "Search news and event layers by keyword without pulling the whole slow feed. Includes Telegram OSINT when include_telegram is true.",
                 },
                 "entities_near": {
                     "args": {"lat": "float", "lng": "float", "radius_km": "float (default 50)", "entity_types": "list[str] (optional)", "limit": "int (default 25)"},
                     "description": "Compact proximity search around a point across selected layers.",
                 },
+                "osint_lookup": {
+                    "args": {"tool": "str (ip|dns|whois|certs|threats|bgp|sanctions|cve|mac|github|leaks|sweep_init)", "...": "tool-specific params"},
+                    "description": "Passive OSINT recon lookup — same backends as the Recon panel.",
+                },
+                "osint_tools": {
+                    "args": {},
+                    "description": "List available recon tools and entity-expand types.",
+                },
+                "entity_expand": {
+                    "args": {"type": "str", "id": "str", "registration": "str (optional)", "icao24": "str (optional)"},
+                    "description": "Entity relationship graph expansion.",
+                },
+                "osint_sweep": {
+                    "args": {"ip": "str", "cidr": "int (default 24)"},
+                    "description": "Active subnet scan — requires full access tier.",
+                },
                 "brief_area": {
                     "args": {"lat": "float", "lng": "float", "radius_km": "float (default 50)", "entity_types": "list[str] (optional)", "query": "str (optional)", "limit": "int (default 25)", "context_limit": "int (default 10)"},
                     "description": "One compact area brief: nearby aircraft/ships/entities, optional topic news, and selected context layers.",
@@ -2521,45 +2592,85 @@ async def api_capabilities(request: Request):
 # OpenClaw Connection Management (local-operator only — NOT via HMAC)
 # These endpoints manage the HMAC secret itself, so they MUST require
 # local operator access to prevent privilege escalation.
+#
+# Issue #302 (tg12): pre-fix, GET /api/ai/connect-info had two problems:
+#
+#   1. ``?reveal=true`` made the full secret travel through every operator
+#      page-load that opened the Connect modal. Even gated to
+#      ``require_local_operator``, that put the secret into browser
+#      history, dev-tools network panels, browser disk caches, HAR
+#      exports, and screen captures. Every time the modal opened.
+#
+#   2. The same GET endpoint auto-bootstrapped (generated + persisted)
+#      the secret on first read. Side effects on a GET are a footgun:
+#      browser prefetchers, mirror tools, and casual curl-from-history
+#      would all silently mint+persist a fresh secret. (Gated, but
+#      still surprising — and noisy in the audit log.)
+#
+# Resolution:
+#
+#   GET  /api/ai/connect-info             — always returns the MASKED
+#                                            secret. No ?reveal param.
+#                                            No auto-bootstrap; if the
+#                                            secret is missing,
+#                                            ``hmac_secret_set: false``
+#                                            tells the frontend to call
+#                                            /bootstrap.
+#
+#   POST /api/ai/connect-info/bootstrap   — NEW. Generates + persists the
+#                                            secret if missing. Idempotent.
+#                                            Returns metadata only, never
+#                                            the full secret.
+#
+#   POST /api/ai/connect-info/reveal      — NEW. Returns the full secret in
+#                                            the body with strict
+#                                            ``Cache-Control: no-store,
+#                                            no-cache, must-revalidate``
+#                                            + ``Pragma: no-cache`` so
+#                                            it does not land in browser
+#                                            caches. POST means it does
+#                                            not land in URL history.
+#
+#   POST /api/ai/connect-info/regenerate  — keeps existing one-time-reveal
+#                                            behavior (regenerate IS a
+#                                            deliberate destructive action
+#                                            the operator triggered, so
+#                                            displaying the new secret
+#                                            once is the only path that
+#                                            makes the operation useful).
+#                                            Same no-store headers added.
 # ---------------------------------------------------------------------------
 
-@router.get("/api/ai/connect-info", dependencies=[Depends(require_local_operator)])
-@limiter.limit("30/minute")
-async def get_connect_info(request: Request, reveal: bool = False):
-    """Return connection details for the OpenClaw Connect modal.
+# Cache-Control headers that should accompany every response carrying the
+# full HMAC secret. Reused across the reveal + regenerate endpoints so a
+# future refactor that splits or renames them can't forget the headers.
+_NO_STORE_HEADERS = {
+    "Cache-Control": "no-store, no-cache, must-revalidate, private",
+    "Pragma": "no-cache",
+    "Expires": "0",
+}
 
-    The HMAC secret is masked by default. Pass ?reveal=true to see the full key.
-    Private keys are NEVER returned.
+
+def _mask_hmac_secret(secret: str) -> str:
+    """Return a fingerprint-style mask (first6 + bullets + last4) suitable
+    for display in the UI before the operator clicks Reveal."""
+    if not secret:
+        return ""
+    if len(secret) > 10:
+        return secret[:6] + "••••••••" + secret[-4:]
+    return "••••••••"
+
+
+def _connect_info_metadata(settings) -> dict:
+    """Return everything the Connect modal needs EXCEPT the secret itself.
+
+    Shared between GET /api/ai/connect-info (where the full secret is
+    masked) and POST /api/ai/connect-info/bootstrap (where the operator
+    just generated a secret but we don't return it inline — they have to
+    call /reveal to see it).
     """
-    import os
-    import secrets
-    from services.config import get_settings
-
-    settings = get_settings()
-    hmac_secret = str(settings.OPENCLAW_HMAC_SECRET or "").strip()
     access_tier = str(settings.OPENCLAW_ACCESS_TIER or "restricted").strip().lower()
-
-    # Auto-generate if not set
-    if not hmac_secret:
-        hmac_secret = secrets.token_hex(24)  # 48 chars
-        _write_env_value("OPENCLAW_HMAC_SECRET", hmac_secret)
-        # Clear settings cache so next read picks up the new value
-        get_settings.cache_clear()
-
-    masked = hmac_secret[:6] + "••••••••" + hmac_secret[-4:] if len(hmac_secret) > 10 else "••••••••"
-
     return {
-        "ok": True,
-        "hmac_secret": hmac_secret if reveal else masked,
-        "hmac_secret_set": bool(hmac_secret),
-        "bootstrap_behavior": {
-            "auto_generates_when_missing": True,
-            "auto_generated_this_call": not bool(settings.OPENCLAW_HMAC_SECRET or ""),
-            "notes": [
-                "If no HMAC secret exists yet, this endpoint bootstraps one and persists it to .env.",
-                "Regenerating the HMAC secret revokes all existing direct-mode OpenClaw callers at once.",
-            ],
-        },
         "access_tier": access_tier,
         "trust_model": {
             "remote_http_principal": "holder_of_openclaw_hmac_secret",
@@ -2613,24 +2724,138 @@ async def get_connect_info(request: Request, reveal: bool = False):
     }
 
 
-@router.post("/api/ai/connect-info/regenerate", dependencies=[Depends(require_local_operator)])
-@limiter.limit("5/minute")
-async def regenerate_hmac_secret(request: Request):
-    """Generate a new HMAC secret. Old secret immediately stops working."""
+@router.get("/api/ai/connect-info", dependencies=[Depends(require_local_operator)])
+@limiter.limit("30/minute")
+async def get_connect_info(request: Request):
+    """Return connection details for the OpenClaw Connect modal.
+
+    The HMAC secret is always returned as a fingerprint mask
+    (``first6 + bullets + last4``); the full value is only ever served by
+    ``POST /api/ai/connect-info/reveal`` (see #302). When the secret has
+    not been bootstrapped yet, ``hmac_secret_set`` is false and the
+    frontend should call ``POST /api/ai/connect-info/bootstrap``.
+
+    Private keys are NEVER returned.
+    """
+    from services.config import get_settings
+
+    settings = get_settings()
+    hmac_secret = str(settings.OPENCLAW_HMAC_SECRET or "").strip()
+
+    return {
+        "ok": True,
+        "masked_hmac_secret": _mask_hmac_secret(hmac_secret),
+        "hmac_secret_set": bool(hmac_secret),
+        "bootstrap_behavior": {
+            "auto_generates_when_missing": False,
+            "notes": [
+                "Call POST /api/ai/connect-info/bootstrap to mint a secret on first use.",
+                "Call POST /api/ai/connect-info/reveal to see the full secret (no-store).",
+                "Regenerating the HMAC secret revokes all existing direct-mode OpenClaw callers at once.",
+            ],
+        },
+        **_connect_info_metadata(settings),
+    }
+
+
+@router.post("/api/ai/connect-info/bootstrap", dependencies=[Depends(require_local_operator)])
+@limiter.limit("10/minute")
+async def bootstrap_hmac_secret(request: Request):
+    """Mint and persist the OpenClaw HMAC secret if it isn't already set.
+
+    Idempotent: if a secret already exists, returns ``generated: false``
+    and leaves the existing secret untouched. Never returns the secret
+    value in the response body — the operator calls
+    ``POST /api/ai/connect-info/reveal`` to see it.
+    """
     import secrets
     from services.config import get_settings
 
+    settings = get_settings()
+    existing = str(settings.OPENCLAW_HMAC_SECRET or "").strip()
+    if existing:
+        return {
+            "ok": True,
+            "generated": False,
+            "hmac_secret_set": True,
+            "masked_hmac_secret": _mask_hmac_secret(existing),
+            "detail": "HMAC secret already configured. Use /reveal to see it.",
+        }
+
     new_secret = secrets.token_hex(24)  # 48 chars
     _write_env_value("OPENCLAW_HMAC_SECRET", new_secret)
     get_settings.cache_clear()
 
     return {
         "ok": True,
-        "hmac_secret": new_secret,
-        "detail": "HMAC secret regenerated. Update your OpenClaw agent configuration.",
+        "generated": True,
+        "hmac_secret_set": True,
+        "masked_hmac_secret": _mask_hmac_secret(new_secret),
+        "detail": "HMAC secret generated. Call /reveal to copy it into your OpenClaw config.",
     }
 
 
+@router.post("/api/ai/connect-info/reveal", dependencies=[Depends(require_local_operator)])
+@limiter.limit("10/minute")
+async def reveal_hmac_secret(request: Request):
+    """Return the full HMAC secret in the response body.
+
+    POST (not GET) so the secret never lands in URL history, access logs,
+    or browser visit history. Strict ``Cache-Control: no-store`` headers
+    prevent intermediaries from persisting the response. Returns 404 if
+    no secret has been bootstrapped — the frontend should call
+    ``POST /api/ai/connect-info/bootstrap`` first.
+    """
+    from services.config import get_settings
+
+    settings = get_settings()
+    hmac_secret = str(settings.OPENCLAW_HMAC_SECRET or "").strip()
+    if not hmac_secret:
+        raise HTTPException(
+            404,
+            "No HMAC secret configured. Call POST /api/ai/connect-info/bootstrap first.",
+        )
+    return JSONResponse(
+        content={
+            "ok": True,
+            "hmac_secret": hmac_secret,
+            "masked_hmac_secret": _mask_hmac_secret(hmac_secret),
+        },
+        headers=_NO_STORE_HEADERS,
+    )
+
+
+@router.post("/api/ai/connect-info/regenerate", dependencies=[Depends(require_local_operator)])
+@limiter.limit("5/minute")
+async def regenerate_hmac_secret(request: Request):
+    """Generate a new HMAC secret. Old secret immediately stops working.
+
+    Returns the new secret in the response body — this is the only
+    operation where the full secret travels back through the response,
+    because regenerating IS a deliberate destructive action the operator
+    triggered and they need to see the new value once to update their
+    OpenClaw configuration. Strict ``Cache-Control: no-store`` headers
+    keep it from being persisted by browser caches, proxies, or HAR
+    capture tooling.
+    """
+    import secrets
+    from services.config import get_settings
+
+    new_secret = secrets.token_hex(24)  # 48 chars
+    _write_env_value("OPENCLAW_HMAC_SECRET", new_secret)
+    get_settings.cache_clear()
+
+    return JSONResponse(
+        content={
+            "ok": True,
+            "hmac_secret": new_secret,
+            "masked_hmac_secret": _mask_hmac_secret(new_secret),
+            "detail": "HMAC secret regenerated. Update your OpenClaw agent configuration.",
+        },
+        headers=_NO_STORE_HEADERS,
+    )
+
+
 @router.put("/api/ai/connect-info/access-tier", dependencies=[Depends(require_local_operator)])
 @limiter.limit("10/minute")
 async def set_access_tier(request: Request, body: dict):

backend/routers/cctv.py

@@ -47,6 +47,8 @@ _CCTV_PROXY_ALLOWED_HOSTS = {
     "www.tripcheck.com",
     "infocar.dgt.es",
     "informo.madrid.es",
+    "webcams2.asfinag.at",
+    "odo.asfinag.at",
     "www.windy.com",
     "imgproxy.windy.com",
     "www.lakecountypassage.com",
@@ -55,6 +57,14 @@ _CCTV_PROXY_ALLOWED_HOSTS = {
     "www.nps.gov",
     "home.lewiscounty.com",
     "www.seattle.gov",
+    "511on.ca",
+    "511.alberta.ca",
+    "fl511.com",
+    "www.fl511.com",
+    "webcams.transport.nsw.gov.au",
+    "www.livetraffic.com",
+    "livetraffic.com",
+    "opendata.ndw.nu",
 }
 
 
@@ -120,7 +130,7 @@ def _cctv_proxy_profile_for_url(target_url: str) -> _CCTVProxyProfile:
         read_timeout = 18.0 if "/snapshots/" in path else 12.0
         return _CCTVProxyProfile(name="gdot-snapshot", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, read_timeout), cache_seconds=15,
             headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
-                     "Referer": "http://navigator-c2c.dot.ga.gov/"})
+                     "Referer": "https://navigator-c2c.dot.ga.gov/"})
     if host == "511ga.org":
         return _CCTVProxyProfile(name="gdot-511ga-image", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=15,
             headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
@@ -128,7 +138,7 @@ def _cctv_proxy_profile_for_url(target_url: str) -> _CCTVProxyProfile:
     if host.startswith("vss") and host.endswith("dot.ga.gov"):
         return _CCTVProxyProfile(name="gdot-hls", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 20.0), cache_seconds=10,
             headers={"Accept": "application/vnd.apple.mpegurl,application/x-mpegURL,video/*,*/*;q=0.8",
-                     "Referer": "http://navigator-c2c.dot.ga.gov/"})
+                     "Referer": "https://navigator-c2c.dot.ga.gov/"})
     if host in {"gettingaroundillinois.com", "cctv.travelmidwest.com"}:
         return _CCTVProxyProfile(name="illinois-dot", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=30,
             headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8"})
@@ -156,10 +166,34 @@ def _cctv_proxy_profile_for_url(target_url: str) -> _CCTVProxyProfile:
         return _CCTVProxyProfile(name="madrid-city", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=30,
             headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
                      "Referer": "https://informo.madrid.es/"})
+    if host in {"webcams2.asfinag.at", "odo.asfinag.at"}:
+        return _CCTVProxyProfile(name="asfinag-austria", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 15.0), cache_seconds=60,
+            headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
+                     "Referer": "https://www.asfinag.at/"})
     if host in {"www.windy.com", "imgproxy.windy.com"}:
         return _CCTVProxyProfile(name="windy-webcams", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=60,
             headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
                      "Referer": "https://www.windy.com/"})
+    if host == "511on.ca":
+        return _CCTVProxyProfile(name="ontario-511", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 15.0), cache_seconds=30,
+            headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
+                     "Referer": "https://511on.ca/"})
+    if host == "511.alberta.ca":
+        return _CCTVProxyProfile(name="alberta-511", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 15.0), cache_seconds=30,
+            headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
+                     "Referer": "https://511.alberta.ca/"})
+    if host in {"fl511.com", "www.fl511.com"}:
+        return _CCTVProxyProfile(name="florida-511", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 15.0), cache_seconds=30,
+            headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
+                     "Referer": "https://fl511.com/"})
+    if host == "webcams.transport.nsw.gov.au":
+        return _CCTVProxyProfile(name="nsw-live-traffic", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=60,
+            headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
+                     "Referer": "https://www.livetraffic.com/"})
+    if host in {"opendata.ndw.nu", "www.ndw.nu"}:
+        return _CCTVProxyProfile(name="ndw-netherlands", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 12.0), cache_seconds=120,
+            headers={"Accept": "image/avif,image/webp,image/apng,image/*,*/*;q=0.8",
+                     "Referer": "https://www.ndw.nu/"})
     return _CCTVProxyProfile(name="generic-cctv", timeout=(_CCTV_PROXY_CONNECT_TIMEOUT_S, 8.0), cache_seconds=30,
         headers={"Accept": "*/*"})
 

backend/routers/data.py

@@ -1,6 +1,7 @@
 import asyncio
 import logging
 import math
+import os
 import threading
 from typing import Any
 from fastapi import APIRouter, Request, Response, Query, Depends
@@ -8,7 +9,7 @@ from fastapi.responses import JSONResponse
 from pydantic import BaseModel
 from limiter import limiter
 from auth import require_admin, require_local_operator
-from services.data_fetcher import get_latest_data, update_all_data
+from services.data_fetcher import update_all_data
 import orjson
 import json as json_mod
 
@@ -30,6 +31,14 @@ class LayerUpdate(BaseModel):
     layers: dict[str, bool]
 
 
+class LiveUamapOptInUpdate(BaseModel):
+    opted_in: bool
+
+
+class PredictionMarketsOptInUpdate(BaseModel):
+    opted_in: bool
+
+
 _LAST_VIEWPORT_UPDATE: tuple | None = None
 _LAST_VIEWPORT_UPDATE_TS = 0.0
 _VIEWPORT_UPDATE_LOCK = threading.Lock()
@@ -202,6 +211,15 @@ def _sanitize_payload(value):
     return value
 
 
+def _live_data_json_bytes(payload: dict) -> bytes:
+    """Serialize dashboard payloads with the same defensive orjson options everywhere."""
+    return orjson.dumps(
+        _sanitize_payload(payload),
+        default=str,
+        option=orjson.OPT_NON_STR_KEYS,
+    )
+
+
 def _bbox_filter(items: list, s: float, w: float, n: float, e: float,
                  lat_key: str = "lat", lng_key: str = "lng") -> list:
     pad_lat = (n - s) * 0.2
@@ -386,6 +404,95 @@ async def update_viewport(vp: ViewportUpdate, request: Request):  # noqa: ARG001
     return {"status": "ok"}
 
 
+@router.get("/api/liveuamap/scraper-status", dependencies=[Depends(require_local_operator)])
+async def api_liveuamap_scraper_status():
+    """Whether LiveUAMap Playwright may run (Windows needs UI opt-in unless env forces)."""
+    from services.liveuamap_settings import liveuamap_scraper_status
+
+    return liveuamap_scraper_status()
+
+
+@router.post("/api/liveuamap/scraper-opt-in", dependencies=[Depends(require_local_operator)])
+@limiter.limit("10/minute")
+async def api_liveuamap_scraper_opt_in(body: LiveUamapOptInUpdate, request: Request):
+    """Persist operator consent for LiveUAMap scraper (#348)."""
+    from services.liveuamap_settings import liveuamap_scraper_status, set_liveuamap_ui_opt_in
+
+    set_liveuamap_ui_opt_in(body.opted_in)
+    if body.opted_in:
+        from services.fetchers._store import is_any_active
+
+        if is_any_active("global_incidents"):
+            threading.Thread(target=_run_liveuamap_refresh, daemon=True).start()
+    return liveuamap_scraper_status()
+
+
+def _run_liveuamap_refresh() -> None:
+    try:
+        from services.fetchers.geo import update_liveuamap
+
+        update_liveuamap()
+    except Exception as e:
+        logger.warning("LiveUAMap refresh after opt-in failed: %s", e)
+
+
+@router.get("/api/prediction-markets/status", dependencies=[Depends(require_local_operator)])
+async def api_prediction_markets_status():
+    """Whether Polymarket/Kalshi fetches and news market correlation are enabled."""
+    from services.prediction_markets_settings import prediction_markets_status
+
+    return prediction_markets_status()
+
+
+@router.post("/api/prediction-markets/opt-in", dependencies=[Depends(require_local_operator)])
+@limiter.limit("10/minute")
+async def api_prediction_markets_opt_in(body: PredictionMarketsOptInUpdate, request: Request):
+    """Enable or disable prediction market fetches + intercept story correlation."""
+    from services.config import get_settings
+    from services.prediction_markets_settings import (
+        prediction_markets_status,
+        set_prediction_markets_ui_opt_in,
+    )
+    from routers.ai_intel import _write_env_value
+
+    set_prediction_markets_ui_opt_in(body.opted_in)
+    _write_env_value("PREDICTION_MARKETS_ENABLED", "true" if body.opted_in else "false")
+    os.environ["PREDICTION_MARKETS_ENABLED"] = "true" if body.opted_in else "false"
+    get_settings.cache_clear()
+
+    if body.opted_in:
+        threading.Thread(target=_run_prediction_markets_refresh, daemon=True).start()
+    else:
+        threading.Thread(target=_run_prediction_markets_disable, daemon=True).start()
+
+    return prediction_markets_status()
+
+
+def _run_prediction_markets_refresh() -> None:
+    try:
+        from services.fetchers.prediction_markets import fetch_prediction_markets
+        from services.fetchers.news import fetch_news
+
+        fetch_prediction_markets()
+        fetch_news()
+    except Exception as e:
+        logger.warning("Prediction markets refresh after opt-in failed: %s", e)
+
+
+def _run_prediction_markets_disable() -> None:
+    try:
+        from services.fetchers._store import _data_lock, _mark_fresh, latest_data
+        from services.fetchers.news import fetch_news
+
+        with _data_lock:
+            latest_data["prediction_markets"] = []
+            latest_data["trending_markets"] = []
+        _mark_fresh("prediction_markets")
+        fetch_news()
+    except Exception as e:
+        logger.warning("Prediction markets disable cleanup failed: %s", e)
+
+
 @router.post("/api/layers", dependencies=[Depends(require_local_operator)])
 @limiter.limit("30/minute")
 async def update_layers(update: LayerUpdate, request: Request):
@@ -395,6 +502,8 @@ async def update_layers(update: LayerUpdate, request: Request):
     old_mesh = is_any_active("sigint_meshtastic")
     old_aprs = is_any_active("sigint_aprs")
     old_viirs = is_any_active("viirs_nightlights")
+    old_datacenters = is_any_active("datacenters")
+    old_fishing = is_any_active("fishing_activity")
     changed = False
     for key, value in update.layers.items():
         if key in active_layers:
@@ -407,6 +516,8 @@ async def update_layers(update: LayerUpdate, request: Request):
     new_mesh = is_any_active("sigint_meshtastic")
     new_aprs = is_any_active("sigint_aprs")
     new_viirs = is_any_active("viirs_nightlights")
+    new_datacenters = is_any_active("datacenters")
+    new_fishing = is_any_active("fishing_activity")
     if old_ships and not new_ships:
         from services.ais_stream import stop_ais_stream
         stop_ais_stream()
@@ -450,13 +561,33 @@ async def update_layers(update: LayerUpdate, request: Request):
     if not old_viirs and new_viirs:
         _queue_viirs_change_refresh()
         logger.info("VIIRS change refresh queued (layer enabled)")
+    if not old_datacenters and new_datacenters:
+        from services.fetchers.infrastructure import fetch_datacenters
+
+        fetch_datacenters()
+        logger.info("Datacenters loaded (layer enabled)")
+    if not old_fishing and new_fishing:
+        from services.fetchers.geo import fetch_fishing_activity
+
+        fetch_fishing_activity()
+        logger.info("Fishing activity refresh queued (layer enabled)")
     return {"status": "ok"}
 
 
 @router.get("/api/live-data")
 @limiter.limit("120/minute")
 async def live_data(request: Request):
-    return get_latest_data()
+    etag = _current_etag(prefix="live|full|")
+    if request.headers.get("if-none-match") == etag:
+        return Response(status_code=304, headers={"ETag": etag, "Cache-Control": "no-cache"})
+    from services.fetchers._store import get_latest_data_deepcopy_snapshot
+
+    payload = get_latest_data_deepcopy_snapshot()
+    return Response(
+        content=_live_data_json_bytes(payload),
+        media_type="application/json",
+        headers={"ETag": etag, "Cache-Control": "no-cache"},
+    )
 
 
 @router.get("/api/bootstrap/critical")
@@ -551,7 +682,7 @@ async def bootstrap_critical(request: Request):
         "bootstrap_payload": True,
     }
     return Response(
-        content=orjson.dumps(_sanitize_payload(payload), default=str, option=orjson.OPT_NON_STR_KEYS),
+        content=_live_data_json_bytes(payload),
         media_type="application/json",
         headers={"ETag": etag, "Cache-Control": "no-cache"},
     )
@@ -613,8 +744,11 @@ async def live_data_fast(
     # to the pre-#288 implementation.
     if _has_full_bbox(s, w, n, e):
         payload = _apply_bbox_to_payload(payload, _FAST_BBOX_HEAVY_KEYS, s, w, n, e)
-    return Response(content=orjson.dumps(_sanitize_payload(payload)), media_type="application/json",
-        headers={"ETag": etag, "Cache-Control": "no-cache"})
+    return Response(
+        content=_live_data_json_bytes(payload),
+        media_type="application/json",
+        headers={"ETag": etag, "Cache-Control": "no-cache"},
+    )
 
 
 @router.get("/api/live-data/slow")
@@ -638,7 +772,8 @@ async def live_data_slow(
         "firms_fires", "datacenters", "military_bases", "power_plants", "viirs_change_nodes",
         "scanners", "weather_alerts", "ukraine_alerts", "air_quality", "volcanoes",
         "fishing_activity", "psk_reporter", "correlations", "uap_sightings", "wastewater",
-        "crowdthreat", "threat_level", "trending_markets",
+        "crowdthreat", "threat_level", "trending_markets", "road_corridor_trends",
+        "malware_threats", "cyber_threats", "scm_suppliers", "telegram_osint",
     )
     freshness = get_source_timestamps_snapshot()
     payload = {
@@ -679,6 +814,31 @@ async def live_data_slow(
         "uap_sightings": (d.get("uap_sightings") or []) if active_layers.get("uap_sightings", True) else [],
         "wastewater": (d.get("wastewater") or []) if active_layers.get("wastewater", True) else [],
         "crowdthreat": (d.get("crowdthreat") or []) if active_layers.get("crowdthreat", True) else [],
+        "road_corridor_trends": (
+            d.get("road_corridor_trends") or {"updated_at": None, "corridors": []}
+        )
+        if active_layers.get("road_corridor_trends", False)
+        else {"updated_at": None, "corridors": []},
+        "malware_threats": (
+            d.get("malware_threats") or {"threats": [], "total": 0}
+        )
+        if active_layers.get("malware_c2", False)
+        else {"threats": [], "total": 0},
+        "cyber_threats": (
+            d.get("cyber_threats") or {"threats": [], "stats": {}}
+        )
+        if active_layers.get("cyber_threats", False)
+        else {"threats": [], "stats": {}},
+        "scm_suppliers": (
+            d.get("scm_suppliers") or {"suppliers": [], "total": 0, "critical_count": 0}
+        )
+        if active_layers.get("scm_suppliers", False)
+        else {"suppliers": [], "total": 0, "critical_count": 0},
+        "telegram_osint": (
+            d.get("telegram_osint") or {"posts": [], "total": 0, "geolocated": 0}
+        )
+        if active_layers.get("telegram_osint", True)
+        else {"posts": [], "total": 0, "geolocated": 0},
         "freshness": freshness,
     }
     # Issue #288: bbox filter heavy/dense layers only when all four bounds
@@ -688,7 +848,7 @@ async def live_data_slow(
     if _has_full_bbox(s, w, n, e):
         payload = _apply_bbox_to_payload(payload, _SLOW_BBOX_HEAVY_KEYS, s, w, n, e)
     return Response(
-        content=orjson.dumps(_sanitize_payload(payload), default=str, option=orjson.OPT_NON_STR_KEYS),
+        content=_live_data_json_bytes(payload),
         media_type="application/json",
         headers={"ETag": etag, "Cache-Control": "no-cache"},
     )

backend/routers/entity_graph.py

@@ -0,0 +1,30 @@
+"""Entity graph expansion (intel layer)."""
+from __future__ import annotations
+
+from fastapi import APIRouter, Depends, HTTPException, Query, Request
+
+from auth import require_local_operator
+from limiter import limiter
+from services.osint_intel.resolve import resolve_entity
+
+router = APIRouter()
+
+
+@router.get("/api/entity/expand")
+@limiter.limit("30/minute")
+async def entity_expand(
+    request: Request,
+    _: None = Depends(require_local_operator),
+    type: str = Query(..., min_length=3, max_length=32),
+    id: str = Query(..., min_length=2, max_length=200),
+    registration: str | None = Query(default=None, max_length=32),
+    model: str | None = Query(default=None, max_length=64),
+    icao24: str | None = Query(default=None, max_length=16),
+) -> dict:
+    props = {"label": id, "registration": registration, "model": model, "icao24": icao24}
+    try:
+        return resolve_entity(type, id, props)
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+    except Exception as exc:
+        raise HTTPException(status_code=502, detail="Intelligence layer unavailable") from exc

backend/routers/health.py

@@ -8,7 +8,7 @@ from services.data_fetcher import get_latest_data
 from services.schemas import HealthResponse
 import os
 
-APP_VERSION = os.environ.get("_HEALTH_APP_VERSION", "0.9.79")
+APP_VERSION = os.environ.get("_HEALTH_APP_VERSION", "0.9.82")
 
 router = APIRouter()
 
@@ -59,6 +59,12 @@ async def health_check(request: Request):
     # when the SPKI-pinned fallback is in effect. The data plane keeps
     # flowing (this is by design — see ais_proxy.js comments) but observers
     # who care about MITM-protection posture deserve a visible signal.
+    #
+    # Plus connectivity health (added 2026-05-23 when stream.aisstream.io
+    # went fully offline): ``connected`` tells the frontend whether ship
+    # data is actually flowing. When false, a banner explains that ships
+    # are unavailable due to an upstream outage — better than the user
+    # silently seeing an empty ocean and assuming we broke something.
     ais_status: dict = {}
     try:
         from services.ais_stream import ais_proxy_status
@@ -69,6 +75,15 @@ async def health_check(request: Request):
         # Don't override a worse top-level status if SLOs already failed,
         # but escalate ok -> degraded so the field surfaces in dashboards.
         top_status = "degraded"
+    # AIS_API_KEY not configured is "feature off", not "system broken" —
+    # so we only escalate when the operator opted into AIS (key set) AND
+    # the stream is currently offline.
+    if (
+        os.environ.get("AIS_API_KEY")
+        and ais_status.get("connected") is False
+        and top_status == "ok"
+    ):
+        top_status = "degraded"
 
     return {
         "status": top_status,

backend/routers/intel_feeds.py

@@ -0,0 +1,122 @@
+"""Malware, cyber threats, and country risk feeds."""
+from __future__ import annotations
+
+import logging
+from urllib.parse import urlparse
+
+import requests
+from fastapi import APIRouter, HTTPException, Query, Request
+from fastapi.responses import StreamingResponse
+from starlette.background import BackgroundTask
+
+from limiter import limiter
+from services.fetchers._store import get_latest_data_subset_refs
+from services.fetchers.telegram_osint import telegram_media_host_allowed
+from services.intel_feeds.country_risk import build_country_risk_payload
+from services.network_utils import outbound_user_agent
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+
+@router.get("/api/malware")
+@limiter.limit("60/minute")
+async def malware_feed(request: Request) -> dict:
+    snap = get_latest_data_subset_refs("malware_threats")
+    payload = snap.get("malware_threats")
+    if isinstance(payload, dict) and payload.get("threats") is not None:
+        return payload
+    return {"threats": [], "total": 0, "timestamp": None, "source": "abuse.ch"}
+
+
+@router.get("/api/cyber-threats")
+@limiter.limit("60/minute")
+async def cyber_threats(request: Request) -> dict:
+    snap = get_latest_data_subset_refs("cyber_threats")
+    return snap.get("cyber_threats") or {"threats": [], "stats": {}}
+
+
+@router.get("/api/country-risk")
+@limiter.limit("30/minute")
+async def country_risk(request: Request) -> dict:
+    return build_country_risk_payload()
+
+
+@router.get("/api/telegram-feed")
+@limiter.limit("30/minute")
+async def telegram_feed(request: Request) -> dict:
+    snap = get_latest_data_subset_refs("telegram_osint")
+    payload = snap.get("telegram_osint")
+    if isinstance(payload, dict) and payload.get("posts") is not None:
+        return payload
+    return {"posts": [], "total": 0, "geolocated": 0, "timestamp": None}
+
+
+def _infer_telegram_media_type(target_url: str, content_type: str) -> str:
+    clean_type = str(content_type or "").split(";", 1)[0].strip().lower()
+    if clean_type and clean_type not in {"application/octet-stream", "binary/octet-stream"}:
+        return content_type
+    path = str(urlparse(target_url).path or "").lower()
+    if path.endswith((".jpg", ".jpeg")):
+        return "image/jpeg"
+    if path.endswith(".png"):
+        return "image/png"
+    if path.endswith(".webp"):
+        return "image/webp"
+    if path.endswith(".gif"):
+        return "image/gif"
+    if path.endswith(".mp4"):
+        return "video/mp4"
+    if path.endswith(".webm"):
+        return "video/webm"
+    return content_type or "application/octet-stream"
+
+
+@router.get("/api/telegram/media")
+@limiter.limit("60/minute")
+async def telegram_media_proxy(request: Request, url: str = Query(...)) -> StreamingResponse:
+    """Stream Telegram CDN media for in-app playback (host allowlist only)."""
+    parsed = urlparse(url)
+    if parsed.scheme not in ("http", "https"):
+        raise HTTPException(status_code=400, detail="Invalid scheme")
+    if not telegram_media_host_allowed(parsed.hostname):
+        raise HTTPException(status_code=403, detail="Host not allowed")
+
+    headers = {
+        "User-Agent": (
+            f"Mozilla/5.0 (compatible; {outbound_user_agent('telegram-media')}) "
+            "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
+        ),
+        "Accept": "*/*",
+    }
+    if range_header := request.headers.get("range"):
+        headers["Range"] = range_header
+
+    try:
+        resp = requests.get(url, stream=True, timeout=(3, 45), headers=headers)
+    except requests.RequestException as exc:
+        logger.warning("Telegram media upstream failure %s: %s", url, exc)
+        raise HTTPException(status_code=502, detail="Upstream fetch failed") from exc
+
+    if resp.status_code >= 400:
+        resp.close()
+        raise HTTPException(status_code=int(resp.status_code), detail=f"Upstream returned {resp.status_code}")
+
+    media_type = _infer_telegram_media_type(url, resp.headers.get("Content-Type", "application/octet-stream"))
+    response_headers = {
+        "Cache-Control": "private, max-age=300",
+        "Accept-Ranges": resp.headers.get("Accept-Ranges", "bytes"),
+    }
+    if content_length := resp.headers.get("Content-Length"):
+        response_headers["Content-Length"] = content_length
+    if content_range := resp.headers.get("Content-Range"):
+        response_headers["Content-Range"] = content_range
+
+    return StreamingResponse(
+        resp.iter_content(chunk_size=65536),
+        status_code=resp.status_code,
+        media_type=media_type,
+        headers=response_headers,
+        background=BackgroundTask(resp.close),
+    )

backend/routers/mesh_peer_sync.py

@@ -55,6 +55,12 @@ def _hydrate_gate_store_from_chain(events: list) -> int:
     return count
 
 
+def _hydrate_dm_relay_from_chain(events: list) -> int:
+    import main as _m
+
+    return int(_m._hydrate_dm_relay_from_chain(events))
+
+
 @router.post("/api/mesh/infonet/peer-push")
 @limiter.limit("30/minute")
 async def infonet_peer_push(request: Request):
@@ -82,9 +88,68 @@ async def infonet_peer_push(request: Request):
         return {"ok": True, "accepted": 0, "duplicates": 0, "rejected": []}
     result = infonet.ingest_events(events)
     _hydrate_gate_store_from_chain(events)
+    _hydrate_dm_relay_from_chain(events)
     return {"ok": True, **result}
 
 
+@router.post("/api/mesh/dm/replicate-envelope")
+@limiter.limit("60/minute")
+async def dm_replicate_envelope(request: Request):
+    """Accept a DM envelope replicated from a peer relay (cross-node mailbox).
+
+    Companion endpoint to ``DMRelay.replicate_to_peers`` (outbound, in
+    ``mesh_dm_relay.py``). The sender's relay POSTs an encrypted DM
+    envelope here after a successful local ``deposit``; this endpoint
+    re-enforces the per-(sender, recipient) anti-spam cap and stores
+    the envelope in the local mailbox if accepted.
+
+    The cap is the network rule: a hostile sender's relay can spool
+    extras locally, but every honest peer enforces the cap on inbound
+    replication. Recipient polling from any honest peer therefore
+    never sees more than ``MESH_DM_PENDING_PER_SENDER_LIMIT`` pending
+    from any one sender, no matter how many spam attempts were tried.
+
+    Same HMAC auth pattern as ``infonet_peer_push`` and ``gate_peer_push``.
+    """
+    content_length = request.headers.get("content-length")
+    if content_length:
+        try:
+            # DM envelopes are bounded by MESH_DM_MAX_MSG_BYTES + envelope
+            # overhead; 64 KB is a generous ceiling.
+            if int(content_length) > 65_536:
+                return Response(
+                    content='{"ok":false,"detail":"Request body too large (max 64KB)"}',
+                    status_code=413, media_type="application/json",
+                )
+        except (ValueError, TypeError):
+            pass
+    body_bytes = await request.body()
+    if not _verify_peer_push_hmac(request, body_bytes):
+        return Response(
+            content='{"ok":false,"detail":"Invalid or missing peer HMAC"}',
+            status_code=403, media_type="application/json",
+        )
+    try:
+        body = json_mod.loads(body_bytes or b"{}")
+    except (ValueError, TypeError):
+        return Response(
+            content='{"ok":false,"detail":"Invalid JSON body"}',
+            status_code=400, media_type="application/json",
+        )
+    envelope = body.get("envelope")
+    if not isinstance(envelope, dict):
+        return {"ok": False, "detail": "envelope must be an object"}
+
+    originating_peer = _peer_hmac_url_from_request(request) or ""
+
+    from services.mesh.mesh_dm_relay import dm_relay
+    result = dm_relay.accept_replica(
+        envelope=envelope,
+        originating_peer_url=originating_peer,
+    )
+    return result
+
+
 @router.post("/api/mesh/gate/peer-push")
 @limiter.limit("30/minute")
 async def gate_peer_push(request: Request):

backend/routers/mesh_public.py

@@ -65,6 +65,7 @@ from services.mesh.mesh_signed_events import (
 logger = logging.getLogger(__name__)
 
 router = APIRouter()
+_INFONET_SYNC_RATE_LIMIT = "600/minute"
 
 
 def _signed_body(request: Request) -> dict[str, Any]:
@@ -263,6 +264,19 @@ def _redact_public_event(event: dict) -> dict:
     return _redact_vote_gate(_redact_key_rotate_payload(_redact_gate_metadata(event)))
 
 
+def _infonet_private_transport_required() -> bool:
+    import main as _m
+
+    return bool(_m._infonet_private_transport_required())
+
+
+def _infonet_sync_response_events(events: list[dict], request=None) -> list[dict]:
+    """Build the sync event surface for the current transport policy."""
+    import main as _m
+
+    return _m._infonet_sync_response_events(events, request=request)
+
+
 def _trusted_gate_reply_to(event: dict) -> str:
     if not isinstance(event, dict):
         return ""
@@ -574,6 +588,12 @@ def _hydrate_gate_store_from_chain(events: list[dict]) -> int:
             pass
     return count
 
+
+def _hydrate_dm_relay_from_chain(events: list[dict]) -> int:
+    import main as _m
+
+    return int(_m._hydrate_dm_relay_from_chain(events))
+
 # --- Safe type helpers ---
 
 def _safe_int(val, default=0):
@@ -1531,7 +1551,7 @@ async def infonet_locator(request: Request, limit: int = Query(32, ge=4, le=128)
 
 
 @router.post("/api/mesh/infonet/sync")
-@limiter.limit("30/minute")
+@limiter.limit(_INFONET_SYNC_RATE_LIMIT)
 @mesh_write_exempt(MeshWriteExemption.PEER_GOSSIP)
 async def infonet_sync_post(
     request: Request,
@@ -1584,8 +1604,7 @@ async def infonet_sync_post(
     elif matched_hash == GENESIS_HASH and len(locator) > 1:
         forked = True
 
-    # Filter out legacy gate_message events — not part of the public sync surface.
-    events = [_redact_public_event(e) for e in events if e.get("event_type") != "gate_message"]
+    events = _infonet_sync_response_events(events, request=request)
 
     response = {
         "events": events,
@@ -1646,7 +1665,7 @@ async def mesh_rns_status(request: Request):
 
 
 @router.get("/api/mesh/infonet/sync")
-@limiter.limit("30/minute")
+@limiter.limit(_INFONET_SYNC_RATE_LIMIT)
 async def infonet_sync(
     request: Request,
     after_hash: str = "",
@@ -1684,8 +1703,7 @@ async def infonet_sync(
         )
     base = after_hash or GENESIS_HASH
     events = infonet.get_events_after(base, limit=limit)
-    # Filter out legacy gate_message events — not part of the public sync surface.
-    events = [_redact_public_event(e) for e in events if e.get("event_type") != "gate_message"]
+    events = _infonet_sync_response_events(events, request=request)
     return {
         "events": events,
         "after_hash": base,
@@ -1724,6 +1742,7 @@ async def infonet_ingest(request: Request):
 
     result = infonet.ingest_events(events)
     _hydrate_gate_store_from_chain(events)
+    _hydrate_dm_relay_from_chain(events)
     return {"ok": True, **result}
 
 
@@ -2279,6 +2298,12 @@ async def infonet_event(request: Request, event_id: str):
                 )
             return _strip_gate_for_access(evt, access)
         return {"ok": False, "detail": "Event not found"}
+    if evt.get("event_type") == "dm_message":
+        return await _private_plane_refusal_response(
+            request,
+            status_code=403,
+            payload=_private_plane_access_denied_payload(),
+        )
     if evt.get("event_type") == "gate_message":
         gate_id = str(evt.get("payload", {}).get("gate", "") or evt.get("gate", "") or "").strip()
         access = _verify_gate_access(request, gate_id) if gate_id else ""
@@ -2303,7 +2328,7 @@ async def infonet_node_events(
     from services.mesh.mesh_hashchain import infonet
 
     events = infonet.get_events_by_node(node_id, limit=limit)
-    events = [e for e in events if e.get("event_type") != "gate_message"]
+    events = [e for e in events if e.get("event_type") not in {"gate_message", "dm_message"}]
     events = [_redact_public_event(e) for e in infonet.decorate_events(events)]
     events = _redact_public_node_history(
         events,
@@ -2328,7 +2353,7 @@ async def infonet_events_by_type(
     else:
         events = list(reversed(infonet.events))
         events = events[offset : offset + limit]
-    events = [e for e in events if e.get("event_type") != "gate_message"]
+    events = [e for e in events if e.get("event_type") not in {"gate_message", "dm_message"}]
     events = [_redact_public_event(e) for e in infonet.decorate_events(events)]
     return {
         "events": events,

backend/routers/osint.py

@@ -0,0 +1,151 @@
+"""Operator OSINT recon routes (server-side proxies, SSRF guarded)."""
+from __future__ import annotations
+
+from fastapi import APIRouter, Depends, HTTPException, Query, Request
+from pydantic import BaseModel, Field
+
+from auth import require_local_operator
+from limiter import limiter
+from services.osint import lookups
+
+router = APIRouter(dependencies=[Depends(require_local_operator)])
+
+_ALLOWED_SCHEMAS = {
+    "Person",
+    "Organization",
+    "Company",
+    "Vessel",
+    "Airplane",
+    "LegalEntity",
+}
+
+
+class SweepScanRequest(BaseModel):
+    ip: str = Field(min_length=7, max_length=45)
+    cidr: int = Field(default=24, ge=24, le=32)
+
+
+def _bad_request(exc: ValueError) -> HTTPException:
+    return HTTPException(status_code=400, detail=str(exc))
+
+
+@router.get("/api/osint/ip")
+@limiter.limit("20/minute")
+async def osint_ip(request: Request, ip: str = Query(..., min_length=7, max_length=45)) -> dict:
+    try:
+        return lookups.lookup_ip(ip)
+    except ValueError as exc:
+        raise _bad_request(exc) from exc
+
+
+@router.get("/api/osint/dns")
+@limiter.limit("20/minute")
+async def osint_dns(request: Request, domain: str = Query(..., min_length=4, max_length=253)) -> dict:
+    try:
+        return lookups.lookup_dns(domain)
+    except ValueError as exc:
+        raise _bad_request(exc) from exc
+
+
+@router.get("/api/osint/whois")
+@limiter.limit("20/minute")
+async def osint_whois(request: Request, domain: str = Query(..., min_length=4, max_length=253)) -> dict:
+    try:
+        return lookups.lookup_whois(domain)
+    except ValueError as exc:
+        raise _bad_request(exc) from exc
+
+
+@router.get("/api/osint/certs")
+@limiter.limit("20/minute")
+async def osint_certs(request: Request, domain: str = Query(..., min_length=4, max_length=253)) -> dict:
+    try:
+        return lookups.lookup_certs(domain)
+    except ValueError as exc:
+        raise _bad_request(exc) from exc
+
+
+@router.get("/api/osint/threats")
+@limiter.limit("20/minute")
+async def osint_threats(request: Request, query: str | None = Query(default=None, max_length=253)) -> dict:
+    return lookups.lookup_threats(query)
+
+
+@router.get("/api/osint/bgp")
+@limiter.limit("20/minute")
+async def osint_bgp(request: Request, query: str = Query(..., min_length=2, max_length=64)) -> dict:
+    try:
+        return lookups.lookup_bgp(query)
+    except ValueError as exc:
+        raise _bad_request(exc) from exc
+
+
+@router.get("/api/osint/sanctions")
+@limiter.limit("20/minute")
+async def osint_sanctions(
+    request: Request,
+    query: str = Query(..., min_length=4, max_length=200),
+    schema: str | None = Query(default=None),
+    limit: int = Query(default=25, ge=1, le=100),
+) -> dict:
+    if schema and schema not in _ALLOWED_SCHEMAS:
+        raise HTTPException(status_code=400, detail=f"Invalid schema. Allowed: {', '.join(sorted(_ALLOWED_SCHEMAS))}")
+    return lookups.lookup_sanctions(query, schema=schema, limit=limit)
+
+
+@router.get("/api/osint/cve")
+@limiter.limit("30/minute")
+async def osint_cve(request: Request, cve: str = Query(..., min_length=10, max_length=32)) -> dict:
+    try:
+        return lookups.lookup_cve(cve)
+    except ValueError as exc:
+        raise HTTPException(status_code=404 if "not found" in str(exc).lower() else 400, detail=str(exc)) from exc
+
+
+@router.get("/api/osint/mac")
+@limiter.limit("20/minute")
+async def osint_mac(request: Request, mac: str = Query(..., min_length=5, max_length=32)) -> dict:
+    return lookups.lookup_mac(mac)
+
+
+@router.get("/api/osint/github")
+@limiter.limit("20/minute")
+async def osint_github(request: Request, username: str = Query(..., min_length=1, max_length=64)) -> dict:
+    try:
+        return lookups.lookup_github(username)
+    except ValueError as exc:
+        raise HTTPException(status_code=404, detail=str(exc)) from exc
+
+
+@router.get("/api/osint/leaks")
+@limiter.limit("10/minute")
+async def osint_leaks(request: Request, email: str = Query(..., min_length=5, max_length=254)) -> dict:
+    try:
+        return lookups.lookup_leaks(email)
+    except ValueError as exc:
+        raise _bad_request(exc) from exc
+
+
+@router.get("/api/osint/sweep")
+@limiter.limit("5/minute")
+async def osint_sweep_init(
+    request: Request,
+    ip: str = Query(..., min_length=7, max_length=45),
+    cidr: int = Query(default=24, ge=24, le=32),
+) -> dict:
+    try:
+        return lookups.sweep_init(ip, cidr)
+    except ValueError as exc:
+        raise _bad_request(exc) from exc
+
+
+@router.post("/api/osint/sweep/scan")
+@limiter.limit("3/minute")
+async def osint_sweep_scan(request: Request, payload: SweepScanRequest) -> dict:
+    try:
+        subnet = lookups.subnet_start_for(payload.ip, payload.cidr)
+        scan = lookups.sweep_scan(subnet, payload.cidr)
+        init = lookups.sweep_init(payload.ip, payload.cidr)
+        return {**init, **scan, "subnet": f"{subnet}/{payload.cidr}"}
+    except ValueError as exc:
+        raise _bad_request(exc) from exc

backend/routers/road_corridors.py

@@ -0,0 +1,105 @@
+"""Road corridor Sentinel-2 freight trend endpoints (opt-in slow layer)."""
+
+from fastapi import APIRouter, HTTPException, Query, Request
+from pydantic import BaseModel, Field
+
+from limiter import limiter
+from services.road_corridor_sat.config import optional_deps_available, road_corridor_sat_enabled
+from services.road_corridor_sat.credentials import sentinel_credentials_configured
+from services.road_corridor_sat.jobs import enqueue_analyze, get_job, get_latest_job, job_to_dict
+from services.road_corridor_sat.presets import CORRIDOR_PRESETS, get_preset
+from services.road_corridor_sat.storage import build_trends_payload, preset_metadata
+
+router = APIRouter()
+
+
+def _status_payload() -> dict:
+    latest = get_latest_job()
+    return {
+        "enabled": road_corridor_sat_enabled(),
+        "deps_installed": optional_deps_available(),
+        "credentials_configured": sentinel_credentials_configured(),
+        "preset_count": len(CORRIDOR_PRESETS),
+        "attribution": "backend/third_party/drishx/NOTICE.md",
+        "active_job": job_to_dict(latest) if latest and latest.status in {"queued", "running"} else None,
+    }
+
+
+def _require_analyze_ready() -> None:
+    if not optional_deps_available():
+        raise HTTPException(
+            status_code=503,
+            detail="Install optional road-corridor dependencies (uv sync --extra road-corridor)",
+        )
+    if not sentinel_credentials_configured():
+        raise HTTPException(
+            status_code=503,
+            detail="Set SENTINEL_CLIENT_ID and SENTINEL_CLIENT_SECRET in Imagery settings",
+        )
+
+
+class AnalyzeRequest(BaseModel):
+    lat: float = Field(ge=-90, le=90)
+    lon: float = Field(ge=-180, le=180)
+    label: str | None = Field(default=None, max_length=120)
+
+
+@router.get("/api/road-corridors/status")
+@limiter.limit("60/minute")
+async def road_corridors_status(request: Request) -> dict:
+    return {"ok": True, **_status_payload()}
+
+
+@router.get("/api/road-corridors")
+@limiter.limit("60/minute")
+async def list_road_corridors(request: Request) -> dict:
+    return {
+        "ok": True,
+        "status": _status_payload(),
+        "presets": CORRIDOR_PRESETS,
+        "trends": build_trends_payload(),
+    }
+
+
+@router.post("/api/road-corridors/analyze")
+@limiter.limit("6/minute")
+async def analyze_road_corridor_here(request: Request, payload: AnalyzeRequest) -> dict:
+    """Start an on-demand Sentinel-2 corridor analysis at map center."""
+    _require_analyze_ready()
+    try:
+        job = enqueue_analyze(payload.lat, payload.lon, payload.label)
+    except RuntimeError as exc:
+        if str(exc) == "analysis_already_running":
+            active = get_latest_job()
+            raise HTTPException(
+                status_code=409,
+                detail="Analysis already in progress",
+                headers={"X-Job-Id": active.job_id if active else ""},
+            ) from exc
+        raise
+    return {"ok": True, **job_to_dict(job)}
+
+
+@router.get("/api/road-corridors/analyze/status")
+@limiter.limit("120/minute")
+async def analyze_road_corridor_status(
+    request: Request,
+    job_id: str | None = Query(default=None),
+) -> dict:
+    job = get_job(job_id) if job_id else get_latest_job()
+    if job is None:
+        return {"ok": True, "job": None}
+    return {"ok": True, "job": job_to_dict(job)}
+
+
+@router.get("/api/road-corridors/{preset_id}")
+@limiter.limit("60/minute")
+async def get_road_corridor(preset_id: str, request: Request) -> dict:
+    meta = preset_metadata(preset_id)
+    if meta is None:
+        raise HTTPException(status_code=404, detail="Unknown corridor preset")
+    preset = get_preset(preset_id)
+    if preset is None:
+        # Ad-hoc viewport runs are stored on disk but not in CORRIDOR_PRESETS.
+        return {"ok": True, "preset": None, "result": meta, "status": _status_payload()}
+    return {"ok": True, "preset": preset, "result": meta, "status": _status_payload()}

backend/routers/scm.py

@@ -0,0 +1,16 @@
+"""Supply-chain risk overlay."""
+from __future__ import annotations
+
+from fastapi import APIRouter, Depends, Request
+
+from auth import require_local_operator
+from limiter import limiter
+from services.scm.suppliers import build_scm_payload
+
+router = APIRouter()
+
+
+@router.get("/api/scm-suppliers")
+@limiter.limit("30/minute")
+async def scm_suppliers(request: Request, _: None = Depends(require_local_operator)) -> dict:
+    return build_scm_payload()

backend/routers/tools.py

@@ -85,6 +85,39 @@ async def api_geocode_reverse(
     return await asyncio.to_thread(reverse_geocode, lat, lng, local_only)
 
 
+# ── Wikimedia proxy (#360) — browser calls these instead of wikipedia.org ───
+@router.get("/api/wikipedia/summary")
+@limiter.limit("60/minute")
+def api_wikipedia_summary(
+    request: Request,
+    title: str = Query(..., min_length=1, max_length=256),
+):
+    """Proxy Wikipedia REST summaries through the self-hosted backend."""
+    from services.region_dossier import fetch_wikipedia_page_summary
+
+    summary = fetch_wikipedia_page_summary(title)
+    if summary is None:
+        return JSONResponse(status_code=404, content={"detail": "not_found"})
+    return summary
+
+
+class WikidataSparqlRequest(BaseModel):
+    query: str
+
+
+@router.post("/api/wikidata/sparql")
+@limiter.limit("30/minute")
+def api_wikidata_sparql(request: Request, body: WikidataSparqlRequest):
+    """Proxy Wikidata SPARQL so the browser never contacts query.wikidata.org."""
+    from services.region_dossier import fetch_wikidata_sparql_bindings
+
+    q = (body.query or "").strip()
+    if len(q) > 12_000:
+        raise HTTPException(400, "SPARQL query too large")
+    bindings = fetch_wikidata_sparql_bindings(q)
+    return {"bindings": bindings}
+
+
 # ── Sentinel proxy routes (Issue #299/#300/#301, reported by tg12) ──────────
 # These three endpoints relay external Sentinel / Planetary Computer
 # requests through the backend to avoid browser CORS blocks. They are

backend/scripts/convert_power_plants.py

@@ -29,7 +29,7 @@ def main() -> None:
         from services.network_utils import outbound_user_agent
         ua = outbound_user_agent("release-script-power-plants")
     except Exception:
-        ua = "Shadowbroker/0.9 (release-script-power-plants; +https://github.com/BigBodyCobain/Shadowbroker/issues)"
+        ua = "operator-release-script (purpose: power-plants)"
     req = urllib.request.Request(CSV_URL, headers={"User-Agent": ua})
     with urllib.request.urlopen(req, timeout=60) as resp:
         raw = resp.read().decode("utf-8")

backend/scripts/release_helper.py

@@ -167,6 +167,11 @@ def cmd_hash(args: argparse.Namespace) -> int:
     print("")
     print("Updater pin:")
     print(f"MESH_UPDATE_SHA256={digest}")
+    print("")
+    print("Release checklist:")
+    print("  - add this digest to SHA256SUMS.txt for the GitHub release")
+    print("  - add/update backend/data/release_digests.json for bundled updater verification")
+    print("  - keep MESH_UPDATE_SHA256 available as the operator override path")
     return 0 if asset_matches else 2
 
 

backend/scripts/scan-secrets.sh

@@ -92,18 +92,37 @@ SECRET_REGEX+='pypi-[0-9a-zA-Z-]{50,}'                        # PyPI token
 TEXT_FILES=$(grep -ivE '\.(png|jpg|jpeg|gif|ico|svg|woff2?|ttf|eot|pbf|zip|tar|gz|db|sqlite|xlsx|pdf|mp[34]|wav|ogg|webm|webp|avif)$' "$FILELIST" | grep -v 'scan-secrets\.sh$' || true)
 
 if [[ -n "$TEXT_FILES" ]]; then
+    # Known-public exclusions: lines matching `<host-or-ip> ssh-<algo> <key>`
+    # are SSH known_hosts entries — the host's PUBLIC fingerprint, which is
+    # by definition safe to commit (the whole point of pinning known_hosts
+    # is to publish the fingerprint widely so MITM is detectable). Filter
+    # these out before flagging the file.
+    KNOWN_HOSTS_LINE='^[[:space:]]*[a-zA-Z0-9._:,*-]+([[:space:]]+[a-zA-Z0-9._:,*-]+)?[[:space:]]+(ssh-rsa|ssh-ed25519|ssh-dss|ecdsa-sha2-nistp256|ecdsa-sha2-nistp384|ecdsa-sha2-nistp521)[[:space:]]+AAAA'
+
     # Use grep with file list, skip missing/binary, limit output
     CONTENT_HITS=$(echo "$TEXT_FILES" | xargs grep -lE "$SECRET_REGEX" 2>/dev/null || true)
     if [[ -n "$CONTENT_HITS" ]]; then
-        echo -e "\n${RED}BLOCKED: Embedded secrets/tokens found in:${NC}"
-        echo "$CONTENT_HITS" | while read -r f; do
-            echo -e "  ${RED}$f${NC}"
-            # Show first matching line for context
-            grep -nE "$SECRET_REGEX" "$f" 2>/dev/null | head -2 | while read -r line; do
-                echo -e "    ${YELLOW}$line${NC}"
-            done
-        done
-        FOUND=1
+        REAL_HITS=""
+        REAL_REPORT=""
+        while IFS= read -r f; do
+            [[ -z "$f" ]] && continue
+            # Re-grep this file, but filter out known_hosts-style lines.
+            FILE_HITS=$(grep -nE "$SECRET_REGEX" "$f" 2>/dev/null | grep -vE "$KNOWN_HOSTS_LINE" || true)
+            if [[ -n "$FILE_HITS" ]]; then
+                REAL_HITS+="$f"$'\n'
+                REAL_REPORT+="  ${RED}$f${NC}"$'\n'
+                # Show first 2 matching lines for context
+                while IFS= read -r line; do
+                    [[ -z "$line" ]] && continue
+                    REAL_REPORT+="    ${YELLOW}$line${NC}"$'\n'
+                done < <(echo "$FILE_HITS" | head -2)
+            fi
+        done <<< "$CONTENT_HITS"
+        if [[ -n "$REAL_HITS" ]]; then
+            echo -e "\n${RED}BLOCKED: Embedded secrets/tokens found in:${NC}"
+            echo -en "$REAL_REPORT"
+            FOUND=1
+        fi
     fi
 fi
 

backend/services/ais_stream.py

@@ -350,19 +350,58 @@ _proxy_process = None
 # path during an upstream cert outage. Surfaced via ais_proxy_status() for
 # /api/health.
 _proxy_status: dict = {}
+# Upstream-connectivity telemetry (added when stream.aisstream.io went fully
+# offline on 2026-05-23). ``_last_msg_at`` is the unix timestamp of the most
+# recent vessel message received from the proxy. ``_proxy_spawn_count`` is
+# how many times we've started the node proxy; combined with no recent
+# messages it tells us the proxy is respawning in a tight loop because the
+# upstream is unreachable. Surfaced via ais_proxy_status() so the operator
+# can see "AIS is dead" instead of guessing whether it's their map filter,
+# their api key, or upstream.
+_last_msg_at: float = 0.0
+_proxy_spawn_count: int = 0
 _VESSEL_TRAIL_INTERVAL_S = 120
 _VESSEL_TRAIL_MAX_POINTS = 240
 
 
-def ais_proxy_status() -> dict:
-    """Return a copy of the latest ais_proxy.js status (issue #258).
+# How stale "last vessel message" can be before we consider the stream
+# disconnected. AISStream typically pushes multiple messages/sec, so a 60s
+# gap means something's wrong upstream or in transit.
+_AIS_CONNECTED_FRESHNESS_S = 60
 
-    Currently surfaces ``degraded_tls`` (bool) which is true when the
-    proxy is using SPKI-pinned fallback because AISStream's cert expired.
-    Returns an empty dict when no status has been received yet.
+
+def ais_proxy_status() -> dict:
+    """Return a copy of the latest ais_proxy.js status + connectivity health.
+
+    Fields:
+      * ``degraded_tls`` (bool, issue #258) — true when the proxy is using
+        SPKI-pinned fallback because AISStream's cert expired.
+      * ``connected`` (bool) — true when we received a vessel message in
+        the last ``_AIS_CONNECTED_FRESHNESS_S`` seconds.
+      * ``last_msg_age_seconds`` (int | None) — seconds since the last
+        vessel message; None if we've never received one.
+      * ``proxy_spawn_count`` (int) — how many times we've spawned the
+        node proxy. Sustained increases here without ``connected`` means
+        we're respawning in a tight loop because upstream is dead.
+
+    Returns an empty dict when called before the AIS subsystem starts
+    (e.g. during tests or when no API key is set).
     """
     with _vessels_lock:
-        return dict(_proxy_status)
+        status = dict(_proxy_status)
+        last = _last_msg_at
+        spawns = _proxy_spawn_count
+
+    now = time.time()
+    if last > 0:
+        last_age = int(now - last)
+        status["last_msg_age_seconds"] = last_age
+        status["connected"] = last_age <= _AIS_CONNECTED_FRESHNESS_S
+    else:
+        status["last_msg_age_seconds"] = None
+        status["connected"] = False
+    status["proxy_spawn_count"] = spawns
+    return status
 
 import os
 
@@ -588,8 +627,10 @@ def _ais_stream_loop():
                 env=proxy_env,
                 **popen_kwargs,
             )
+            global _proxy_spawn_count
             with _vessels_lock:
                 _proxy_process = process
+                _proxy_spawn_count += 1
 
             # Drain stderr in a background thread to prevent deadlock
             import threading
@@ -645,9 +686,15 @@ def _ais_stream_loop():
                 if not mmsi:
                     continue
 
+                # Telemetry: stamp the timestamp of the most recent real
+                # vessel message. ais_proxy_status() reads this to decide
+                # whether the stream is currently "connected" — i.e. has
+                # any data flowed in the last 60s.
+                global _last_msg_at
                 with _vessels_lock:
+                    _last_msg_at = time.time()
                     if mmsi not in _vessels:
-                        _vessels[mmsi] = {"_updated": time.time()}
+                        _vessels[mmsi] = {"_updated": _last_msg_at}
                     vessel = _vessels[mmsi]
 
                 # Update position from PositionReport or StandardClassBPositionReport

backend/services/api_settings.py

@@ -51,6 +51,15 @@ API_REGISTRY = [
         "url": "https://aisstream.io/",
         "required": True,
     },
+    {
+        "id": "gfw_api_token",
+        "env_key": "GFW_API_TOKEN",
+        "name": "Global Fishing Watch",
+        "description": "Bearer token for Global Fishing Watch fishing-vessel activity events (Fishing Activity map layer). Free registration at globalfishingwatch.org.",
+        "category": "Maritime",
+        "url": "https://globalfishingwatch.org/our-apis/",
+        "required": False,
+    },
     {
         "id": "adsb_lol",
         "env_key": None,

backend/services/cctv_pipeline.py

@@ -17,6 +17,9 @@ _KNOWN_CCTV_MEDIA_HOST_ALIASES = {
     # Trusted upstream occasionally publishes a typo for this Georgia camera
     # host. Normalize it at ingest so the proxy and client stay consistent.
     "navigatos-c2c.dot.ga.gov": "navigator-c2c.dot.ga.gov",
+    # TravelIQ staging hosts occasionally appear in 511 catalog metadata.
+    "on.stage.traveliq.co": "511on.ca",
+    "ab.stage.traveliq.co": "511.alberta.ca",
 }
 
 _POINT_WKT_RE = re.compile(
@@ -40,6 +43,17 @@ def _normalize_cctv_media_url(raw_url: str) -> str:
     return urlunparse(parsed._replace(netloc=netloc))
 
 
+def _ensure_https_url(raw_url: str) -> str:
+    """Upgrade http:// media/catalog URLs to https:// at ingest time."""
+    candidate = _normalize_cctv_media_url(str(raw_url or "").strip())
+    if not candidate:
+        return ""
+    parsed = urlparse(candidate)
+    if parsed.scheme.lower() == "http":
+        return urlunparse(parsed._replace(scheme="https"))
+    return candidate
+
+
 def _looks_like_direct_cctv_media_url(url: str) -> bool:
     candidate = str(url or "").strip().lower()
     if not candidate.startswith(("http://", "https://")):
@@ -93,6 +107,165 @@ def _parse_wkt_point(raw_point: str) -> tuple[float | None, float | None]:
     return lat, lon
 
 
+def _fetch_traveliq_v2_cameras(
+    *,
+    api_url: str,
+    base_url: str,
+    id_prefix: str,
+    source_agency: str,
+) -> List[Dict[str, Any]]:
+    """Parse TravelIQ-style GET /api/v2/get/cameras feeds (Ontario, Alberta)."""
+    resp = fetch_with_curl(
+        api_url,
+        timeout=30,
+        headers={"Accept": "application/json"},
+    )
+    if not resp or resp.status_code != 200:
+        logger.error(
+            "%s CCTV fetch failed: HTTP %s",
+            source_agency,
+            resp.status_code if resp else "no response",
+        )
+        return []
+
+    data = resp.json()
+    if not isinstance(data, list):
+        return []
+
+    cameras: List[Dict[str, Any]] = []
+    for cam in data:
+        if not isinstance(cam, dict):
+            continue
+        try:
+            lat = float(cam.get("Latitude"))
+            lon = float(cam.get("Longitude"))
+        except (TypeError, ValueError):
+            continue
+
+        site_id = cam.get("Id")
+        location = str(cam.get("Location") or cam.get("Roadway") or "Camera")[:120]
+        views = cam.get("Views") or []
+        if not views:
+            continue
+
+        for view in views:
+            if not isinstance(view, dict):
+                continue
+            status = str(view.get("Status") or "enabled").strip().lower()
+            if status and status not in {"enabled", "active"}:
+                continue
+            media_url = _ensure_https_url(
+                urljoin(base_url, str(view.get("Url") or "").strip())
+            )
+            if not media_url:
+                continue
+            view_id = view.get("Id") or site_id
+            if site_id is None or view_id is None:
+                continue
+            label = str(view.get("Description") or location or "Camera")[:120]
+            cameras.append(
+                {
+                    "id": f"{id_prefix}-{site_id}-{view_id}",
+                    "source_agency": source_agency,
+                    "lat": lat,
+                    "lon": lon,
+                    "direction_facing": label,
+                    "media_url": media_url,
+                    "media_type": "image",
+                    "refresh_rate_seconds": 60,
+                }
+            )
+    return cameras
+
+
+def _fetch_511_datatables_cameras(
+    *,
+    list_url: str,
+    base_url: str,
+    id_prefix: str,
+    source_agency: str,
+    referer: str,
+    page_size: int = 500,
+) -> List[Dict[str, Any]]:
+    """Parse 511 DataTables POST /List/GetData/Cameras feeds (Georgia, Florida)."""
+    cameras: List[Dict[str, Any]] = []
+    start = 0
+    draw = 1
+    while True:
+        resp = fetch_with_curl(
+            list_url,
+            method="POST",
+            json_data={"draw": draw, "start": start, "length": page_size},
+            timeout=30,
+            headers={
+                "Accept": "application/json",
+                "Referer": referer,
+                "Origin": base_url.rstrip("/"),
+            },
+        )
+        if not resp or resp.status_code != 200:
+            logger.error(
+                "%s CCTV fetch failed: HTTP %s",
+                source_agency,
+                resp.status_code if resp else "no response",
+            )
+            break
+
+        data = resp.json()
+        rows = data.get("data") or []
+        if not rows:
+            break
+
+        for row in rows:
+            if not isinstance(row, dict):
+                continue
+            site_id = row.get("id") or row.get("DT_RowId")
+            location = row.get("location") or row.get("roadway") or source_agency
+            lat_lng = row.get("latLng") or {}
+            geography = lat_lng.get("geography") if isinstance(lat_lng, dict) else {}
+            lat, lon = _parse_wkt_point(
+                geography.get("wellKnownText") if isinstance(geography, dict) else ""
+            )
+            images = row.get("images") or []
+            image = next(
+                (
+                    candidate
+                    for candidate in images
+                    if str(candidate.get("imageUrl") or "").strip()
+                    and not bool(candidate.get("blocked"))
+                ),
+                None,
+            )
+            if not (site_id and image and lat is not None and lon is not None):
+                continue
+            media_url = _ensure_https_url(
+                urljoin(base_url, str(image.get("imageUrl") or "").strip())
+            )
+            if not media_url:
+                continue
+            cameras.append(
+                {
+                    "id": f"{id_prefix}-{site_id}",
+                    "source_agency": source_agency,
+                    "lat": lat,
+                    "lon": lon,
+                    "direction_facing": str(location)[:120],
+                    "media_url": media_url,
+                    "media_type": "image",
+                    "refresh_rate_seconds": 60,
+                }
+            )
+
+        start += len(rows)
+        draw += 1
+        total = int(data.get("recordsTotal") or 0)
+        if total and start >= total:
+            break
+        if not total and len(rows) < page_size:
+            break
+    return cameras
+
+
 def init_db():
     DB_PATH.parent.mkdir(parents=True, exist_ok=True)
     conn = sqlite3.connect(str(DB_PATH))
@@ -169,7 +342,7 @@ class BaseCCTVIngestor(ABC):
                         cam.get("lat"),
                         cam.get("lon"),
                         cam.get("direction_facing", "Unknown"),
-                        cam.get("media_url"),
+                        _ensure_https_url(cam.get("media_url", "")),
                         cam.get("media_type", _detect_media_type(cam.get("media_url", ""))),
                         cam.get("refresh_rate_seconds", 60),
                     ),
@@ -454,77 +627,14 @@ class WSDOTIngestor(BaseCCTVIngestor):
 class GeorgiaDOTIngestor(BaseCCTVIngestor):
     """Georgia cameras via the public 511GA list feed."""
 
-    URL = "https://511ga.org/List/GetData/Cameras"
-    BASE_URL = "https://511ga.org"
-    PAGE_SIZE = 500
-
     def fetch_data(self) -> List[Dict[str, Any]]:
-        cameras = []
-        start = 0
-        draw = 1
-        while True:
-            resp = fetch_with_curl(
-                self.URL,
-                method="POST",
-                json_data={"draw": draw, "start": start, "length": self.PAGE_SIZE},
-                timeout=30,
-                headers={
-                    "Accept": "application/json",
-                    "Referer": "https://511ga.org/cctv",
-                    "Origin": "https://511ga.org",
-                },
-            )
-            if not resp or resp.status_code != 200:
-                logger.error(
-                    "Georgia CCTV fetch failed: HTTP %s",
-                    resp.status_code if resp else "no response",
-                )
-                break
-            data = resp.json()
-            rows = data.get("data") or []
-            if not rows:
-                break
-            for row in rows:
-                site_id = row.get("id") or row.get("DT_RowId")
-                location = row.get("location") or row.get("roadway") or "GA Camera"
-                lat_lng = row.get("latLng") or {}
-                geography = lat_lng.get("geography") if isinstance(lat_lng, dict) else {}
-                lat, lon = _parse_wkt_point(geography.get("wellKnownText") if isinstance(geography, dict) else "")
-                images = row.get("images") or []
-                image = next(
-                    (
-                        candidate
-                        for candidate in images
-                        if str(candidate.get("imageUrl") or "").strip()
-                        and not bool(candidate.get("blocked"))
-                    ),
-                    None,
-                )
-                if not (site_id and image and lat is not None and lon is not None):
-                    continue
-                media_url = _normalize_cctv_media_url(
-                    urljoin(self.BASE_URL, str(image.get("imageUrl") or "").strip())
-                )
-                cameras.append(
-                    {
-                        "id": f"GDOT-{site_id}",
-                        "source_agency": "Georgia DOT",
-                        "lat": lat,
-                        "lon": lon,
-                        "direction_facing": str(location)[:120],
-                        "media_url": media_url,
-                        "media_type": "image",
-                        "refresh_rate_seconds": 60,
-                    }
-                )
-            start += len(rows)
-            draw += 1
-            total = int(data.get("recordsTotal") or 0)
-            if total and start >= total:
-                break
-            if not total and len(rows) < self.PAGE_SIZE:
-                break
-        return cameras
+        return _fetch_511_datatables_cameras(
+            list_url="https://511ga.org/List/GetData/Cameras",
+            base_url="https://511ga.org",
+            id_prefix="GDOT",
+            source_agency="Georgia DOT",
+            referer="https://511ga.org/cctv",
+        )
 
 
 class IllinoisDOTIngestor(BaseCCTVIngestor):
@@ -1009,17 +1119,72 @@ def _extract_img_src(html_fragment: str):
     return None
 
 
+class AsfinagIngestor(BaseCCTVIngestor):
+    """Austria ASFINAG motorway webcams (Osiris port)."""
+
+    API_URL = "https://odo.asfinag.at/odo/rest/sec/resource/001/json/webcams?language=atDE"
+    HEADERS = {
+        "User-Agent": "Shadowbroker-CCTV/1.0",
+        "Accept": "application/json",
+        "Referer": "https://www.asfinag.at/",
+        "Authorization": "Basic bWFwX3dpZGdldDp0ZWdkaXc=",
+    }
+
+    def fetch_data(self) -> List[Dict[str, Any]]:
+        try:
+            response = fetch_with_curl(self.API_URL, timeout=15, headers=self.HEADERS)
+            response.raise_for_status()
+            payload = response.json()
+        except Exception as exc:
+            logger.error("AsfinagIngestor: fetch failed: %s", exc)
+            return []
+        if not isinstance(payload, list):
+            return []
+        cameras: List[Dict[str, Any]] = []
+        for cam in payload:
+            cam_id = cam.get("wcs_id")
+            lat = cam.get("wgs84_lat")
+            lon = cam.get("wgs84_lon")
+            image_url = cam.get("url_campic")
+            if not cam_id or lat is None or lon is None or not image_url:
+                continue
+            if str(cam_id).startswith("Utinform"):
+                continue
+            label = cam.get("position_txt") or cam.get("direction_txt") or "ASFINAG Webcam"
+            secure_url = _ensure_https_url(image_url)
+            if not secure_url:
+                continue
+            cameras.append(
+                {
+                    "id": f"ASFINAG-{cam_id}",
+                    "source_agency": "ASFINAG Austria",
+                    "lat": float(lat),
+                    "lon": float(lon),
+                    "direction_facing": label,
+                    "media_url": secure_url,
+                    "media_type": "image",
+                    "refresh_rate_seconds": 300,
+                }
+            )
+        logger.info("AsfinagIngestor: parsed %s cameras", len(cameras))
+        return cameras
+
+
 class MadridCityIngestor(BaseCCTVIngestor):
     """Madrid City Hall traffic cameras from datos.madrid.es KML feed."""
 
-    KML_URL = "http://datos.madrid.es/egob/catalogo/202088-0-trafico-camaras.kml"
+    KML_URL = "https://datos.madrid.es/egob/catalogo/202088-0-trafico-camaras.kml"
+
+    def _fetch_kml(self):
+        response = fetch_with_curl(self.KML_URL, timeout=20)
+        response.raise_for_status()
+        return response
 
     def fetch_data(self) -> List[Dict[str, Any]]:
         import defusedxml.ElementTree as ET
 
         try:
-            response = fetch_with_curl(self.KML_URL, timeout=20)
-            response.raise_for_status()
+            response = self._fetch_kml()
         except Exception as e:
             logger.error(f"MadridCityIngestor: failed to fetch KML: {e}")
             return []
@@ -1055,6 +1220,9 @@ class MadridCityIngestor(BaseCCTVIngestor):
                 if desc_el is not None and desc_el.text:
                     image_url = _extract_img_src(desc_el.text)
 
+                if not image_url:
+                    continue
+                image_url = _ensure_https_url(image_url)
                 if not image_url:
                     continue
 
@@ -1076,6 +1244,153 @@ class MadridCityIngestor(BaseCCTVIngestor):
         return cameras
 
 
+class Ontario511Ingestor(BaseCCTVIngestor):
+    """Ontario highway cameras via 511on.ca TravelIQ API."""
+
+    def fetch_data(self) -> List[Dict[str, Any]]:
+        return _fetch_traveliq_v2_cameras(
+            api_url="https://511on.ca/api/v2/get/cameras",
+            base_url="https://511on.ca",
+            id_prefix="ON511",
+            source_agency="511 Ontario",
+        )
+
+
+class Alberta511Ingestor(BaseCCTVIngestor):
+    """Alberta highway cameras via 511 Alberta TravelIQ API."""
+
+    def fetch_data(self) -> List[Dict[str, Any]]:
+        return _fetch_traveliq_v2_cameras(
+            api_url="https://511.alberta.ca/api/v2/get/cameras",
+            base_url="https://511.alberta.ca",
+            id_prefix="AB511",
+            source_agency="511 Alberta",
+        )
+
+
+class Florida511Ingestor(BaseCCTVIngestor):
+    """Florida cameras via FL511 DataTables feed (~4,800 sites)."""
+
+    def fetch_data(self) -> List[Dict[str, Any]]:
+        return _fetch_511_datatables_cameras(
+            list_url="https://fl511.com/List/GetData/Cameras",
+            base_url="https://fl511.com",
+            id_prefix="FL511",
+            source_agency="Florida 511",
+            referer="https://fl511.com/",
+        )
+
+
+class AustraliaLiveTrafficIngestor(BaseCCTVIngestor):
+    """NSW / Australia live traffic cameras via Transport for NSW JSON feed."""
+
+    URL = "https://www.livetraffic.com/datajson/all-feeds-web.json"
+
+    def fetch_data(self) -> List[Dict[str, Any]]:
+        resp = fetch_with_curl(self.URL, timeout=35, headers={"Accept": "application/json"})
+        if not resp or resp.status_code != 200:
+            logger.error(
+                "Australia Live Traffic CCTV fetch failed: HTTP %s",
+                resp.status_code if resp else "no response",
+            )
+            return []
+
+        data = resp.json()
+        if not isinstance(data, list):
+            return []
+
+        cameras: List[Dict[str, Any]] = []
+        for item in data:
+            if not isinstance(item, dict) or item.get("eventType") != "liveCams":
+                continue
+            geometry = item.get("geometry") if isinstance(item.get("geometry"), dict) else {}
+            coords = geometry.get("coordinates") if isinstance(geometry.get("coordinates"), list) else []
+            if len(coords) < 2:
+                continue
+            try:
+                lon = float(coords[0])
+                lat = float(coords[1])
+            except (TypeError, ValueError):
+                continue
+
+            props = item.get("properties") if isinstance(item.get("properties"), dict) else {}
+            media_url = _ensure_https_url(str(props.get("href") or "").strip())
+            if not media_url:
+                continue
+
+            cam_id = str(item.get("path") or props.get("id") or len(cameras)).strip("/")
+            label = str(props.get("title") or props.get("headline") or "Australia Camera")[:120]
+            cameras.append(
+                {
+                    "id": f"AUS-{cam_id}",
+                    "source_agency": "NSW Live Traffic",
+                    "lat": lat,
+                    "lon": lon,
+                    "direction_facing": label,
+                    "media_url": media_url,
+                    "media_type": "image",
+                    "refresh_rate_seconds": 120,
+                }
+            )
+        logger.info("AustraliaLiveTrafficIngestor: parsed %s cameras", len(cameras))
+        return cameras
+
+
+class NetherlandsRWSIngestor(BaseCCTVIngestor):
+    """Netherlands Rijkswaterstaat cameras from legacy NDW open-data JSON.
+
+    The opendata.ndw.nu/cameras.json feed Osiris used is often offline; when
+  unavailable this ingestor returns an empty set and logs a warning.
+    """
+
+    URL = "https://opendata.ndw.nu/cameras.json"
+    MAX_CAMERAS = 1200
+
+    def fetch_data(self) -> List[Dict[str, Any]]:
+        resp = fetch_with_curl(self.URL, timeout=25, headers={"Accept": "application/json"})
+        if not resp or resp.status_code != 200:
+            logger.warning(
+                "Netherlands RWS cameras.json unavailable (HTTP %s) — "
+                "NDW retired this open-data endpoint; no cameras ingested",
+                resp.status_code if resp else "no response",
+            )
+            return []
+
+        data = resp.json()
+        if not isinstance(data, list):
+            return []
+
+        cameras: List[Dict[str, Any]] = []
+        for i, cam in enumerate(data[: self.MAX_CAMERAS]):
+            if not isinstance(cam, dict):
+                continue
+            lat = cam.get("lat") if cam.get("lat") is not None else cam.get("latitude")
+            lon = cam.get("lng") if cam.get("lng") is not None else cam.get("longitude")
+            media_url = _ensure_https_url(
+                str(cam.get("imageUrl") or cam.get("feed_url") or cam.get("url") or "").strip()
+            )
+            if lat is None or lon is None or not media_url:
+                continue
+            try:
+                lat_f, lon_f = float(lat), float(lon)
+            except (TypeError, ValueError):
+                continue
+            cameras.append(
+                {
+                    "id": f"NLRWS-{cam.get('id') or i}",
+                    "source_agency": "Rijkswaterstaat",
+                    "lat": lat_f,
+                    "lon": lon_f,
+                    "direction_facing": str(cam.get("name") or "Netherlands Camera")[:120],
+                    "media_url": media_url,
+                    "media_type": "image",
+                    "refresh_rate_seconds": 120,
+                }
+            )
+        logger.info("NetherlandsRWSIngestor: parsed %s cameras", len(cameras))
+        return cameras
+
+
 def _detect_media_type(url: str) -> str:
     """Detect the media type from a camera URL for proper frontend rendering."""
     if not url:
@@ -1094,29 +1409,40 @@ def _detect_media_type(url: str) -> str:
     return "image"
 
 
+def scheduled_cctv_ingestors() -> List[tuple["BaseCCTVIngestor", str]]:
+    """Canonical list of CCTV ingestors for startup, scheduler, and DB seeding."""
+    return [
+        (TFLJamCamIngestor(), "cctv_tfl"),
+        (LTASingaporeIngestor(), "cctv_lta"),
+        (AustinTXIngestor(), "cctv_atx"),
+        (NYCDOTIngestor(), "cctv_nyc"),
+        (CaltransIngestor(), "cctv_caltrans"),
+        (ColoradoDOTIngestor(), "cctv_codot"),
+        (WSDOTIngestor(), "cctv_wsdot"),
+        (GeorgiaDOTIngestor(), "cctv_gdot"),
+        (IllinoisDOTIngestor(), "cctv_idot"),
+        (MichiganDOTIngestor(), "cctv_mdot"),
+        (WindyWebcamsIngestor(), "cctv_windy"),
+        (DGTNationalIngestor(), "cctv_dgt"),
+        (MadridCityIngestor(), "cctv_madrid"),
+        (OSMTrafficCameraIngestor(), "cctv_osm"),
+        (AsfinagIngestor(), "cctv_asfinag"),
+        (OSMALPRCameraIngestor(), "cctv_osm_alpr"),
+        (Ontario511Ingestor(), "cctv_on511"),
+        (Alberta511Ingestor(), "cctv_ab511"),
+        (Florida511Ingestor(), "cctv_fl511"),
+        (AustraliaLiveTrafficIngestor(), "cctv_australia"),
+        (NetherlandsRWSIngestor(), "cctv_nl_rws"),
+    ]
+
+
 def run_all_ingestors():
     """Run all CCTV ingestors synchronously. Used for first-run DB seeding."""
-    ingestors = [
-        TFLJamCamIngestor(),
-        LTASingaporeIngestor(),
-        AustinTXIngestor(),
-        NYCDOTIngestor(),
-        CaltransIngestor(),
-        ColoradoDOTIngestor(),
-        WSDOTIngestor(),
-        GeorgiaDOTIngestor(),
-        IllinoisDOTIngestor(),
-        MichiganDOTIngestor(),
-        WindyWebcamsIngestor(),
-        OSMTrafficCameraIngestor(),
-        DGTNationalIngestor(),
-        MadridCityIngestor(),
-    ]
-    for ing in ingestors:
+    for ingestor, _name in scheduled_cctv_ingestors():
         try:
-            ing.ingest()
+            ingestor.ingest()
         except Exception as e:
-            logger.warning(f"Ingestor {ing.__class__.__name__} failed during seed: {e}")
+            logger.warning(f"Ingestor {ingestor.__class__.__name__} failed during seed: {e}")
 
 
 def get_all_cameras() -> List[Dict[str, Any]]:

backend/services/config.py

@@ -32,6 +32,7 @@ class Settings(BaseSettings):
     MESH_ARTI_ENABLED: bool = False
     MESH_ARTI_SOCKS_PORT: int = 9050
     MESH_RELAY_PEERS: str = ""
+    MESH_PUBLIC_PEER_URL: str = ""
     # Bootstrap seeds are discovery hints, not authoritative network roots.
     # Nodes promote healthy discovered peers from the store/manifest over time.
     MESH_BOOTSTRAP_SEED_PEERS: str = "http://gqpbunqbgtkcqilvclm3xrkt3zowjyl3s62kkktvojgvxzizamvbrqid.onion:8000"
@@ -116,6 +117,21 @@ class Settings(BaseSettings):
     MESH_DM_REQUEST_MAILBOX_LIMIT: int = 12
     MESH_DM_SHARED_MAILBOX_LIMIT: int = 48
     MESH_DM_SELF_MAILBOX_LIMIT: int = 12
+    # Anti-spam: cap on distinct UNACKED messages a single sender can have
+    # parked in a single recipient's mailbox at any one time. Once the
+    # recipient pulls (acks) a message, the sender's quota for that pair
+    # frees up. Default 2 — a sender who wants to deliver more must wait
+    # for the recipient to actually read the prior messages.
+    #
+    # This cap is enforced TWICE: once on the local deposit path (the
+    # sender's own node refuses to spool the 3rd message) AND once on
+    # the replication-acceptance path (honest peer relays refuse to
+    # accept inbound replicas that would put them over the cap). The
+    # double enforcement makes the rule a NETWORK rule — patching out
+    # the local check on a hostile sender's relay doesn't let extras
+    # propagate, because every honest peer enforces the same cap on
+    # inbound replication.
+    MESH_DM_PENDING_PER_SENDER_LIMIT: int = 2
     MESH_BLOCK_LEGACY_AGENT_ID_LOOKUP: bool = True
     MESH_ALLOW_COMPAT_DM_INVITE_IMPORT: bool = False
     MESH_ALLOW_COMPAT_DM_INVITE_IMPORT_UNTIL: str = ""

backend/services/constants.py

@@ -11,8 +11,13 @@ DEFAULT_TRAIL_TTL_S = 300  # 5 min - trail TTL for non-tracked flights
 HOLD_PATTERN_DEGREES = 300  # Total heading change to flag holding pattern
 GPS_JAMMING_NACP_THRESHOLD = 8  # NACp below this = degraded GPS signal
 GPS_JAMMING_GRID_SIZE = 1.0  # 1 degree grid for aggregation
-GPS_JAMMING_MIN_RATIO = 0.30  # 30% degraded aircraft to flag zone
-GPS_JAMMING_MIN_AIRCRAFT = 5  # Min aircraft in grid cell for statistical significance
+# Tuned 2026-05: previously 0.30 / 5 aircraft which — combined with the
+# -1 noise cushion in the detector AND the pre-fix nac_p==0 filter that
+# discarded jamming victims — meant the layer almost never lit up.
+# Lowering the bar so genuine jamming zones with sparser ADS-B coverage
+# clear (eastern Med, Russia/Ukraine border, Iran/Iraq).
+GPS_JAMMING_MIN_RATIO = 0.20  # 20% degraded aircraft to flag zone
+GPS_JAMMING_MIN_AIRCRAFT = 3  # Min aircraft in grid cell for statistical significance
 
 # ─── Network & Circuit Breaker ──────────────────────────────────────────────
 CIRCUIT_BREAKER_TTL_S = 120  # Skip domain for 2 min after total failure

backend/services/data_fetcher.py

@@ -19,6 +19,7 @@ import concurrent.futures
 import json
 import math
 import os
+import random
 import threading
 import time
 from datetime import datetime, timedelta
@@ -75,6 +76,7 @@ from services.fetchers.infrastructure import (  # noqa: F401
     fetch_tinygs,
     fetch_psk_reporter,
 )
+from services.fetchers.road_corridor_sat import fetch_road_corridor_trends  # noqa: F401
 from services.fetchers.geo import (  # noqa: F401
     fetch_ships,
     fetch_airports,
@@ -99,6 +101,10 @@ from services.fetchers.crowdthreat import fetch_crowdthreat  # noqa: F401
 from services.fetchers.wastewater import fetch_wastewater  # noqa: F401
 from services.fetchers.sar_catalog import fetch_sar_catalog  # noqa: F401
 from services.fetchers.sar_products import fetch_sar_products  # noqa: F401
+from services.fetchers.malware import fetch_malware_threats  # noqa: F401
+from services.fetchers.telegram_osint import fetch_telegram_osint  # noqa: F401
+from services.fetchers.cyber_status import fetch_cyber_threats  # noqa: F401
+from services.scm.suppliers import fetch_scm_suppliers  # noqa: F401
 from services.ais_stream import prune_stale_vessels  # noqa: F401
 
 logger = logging.getLogger(__name__)
@@ -144,13 +150,18 @@ _STARTUP_HEAVY_REFRESH_DELAY_S = float(os.environ.get("SHADOWBROKER_STARTUP_HEAV
 _STARTUP_HEAVY_REFRESH_STARTED = False
 _STARTUP_HEAVY_REFRESH_LOCK = threading.Lock()
 _FETCH_WORKERS = int(os.environ.get("SHADOWBROKER_FETCH_WORKERS", "8"))
+_HEAVY_FETCH_WORKERS = int(os.environ.get("SHADOWBROKER_HEAVY_FETCH_WORKERS", "2"))
 _SLOW_FETCH_CONCURRENCY = int(os.environ.get("SHADOWBROKER_SLOW_FETCH_CONCURRENCY", "4"))
 _STARTUP_HEAVY_CONCURRENCY = int(os.environ.get("SHADOWBROKER_STARTUP_HEAVY_CONCURRENCY", "2"))
 
-# Shared thread pool — reused across all fetch cycles instead of creating/destroying per tick
+# Fast-tier pool (flights, ships, sigint, …). Slow / heavy work uses a separate pool
+# so Playwright, GDELT, CCTV ingest, etc. cannot starve the 60s refresh path (#375).
 _SHARED_EXECUTOR = concurrent.futures.ThreadPoolExecutor(
     max_workers=max(2, _FETCH_WORKERS), thread_name_prefix="fetch"
 )
+_SLOW_EXECUTOR = concurrent.futures.ThreadPoolExecutor(
+    max_workers=max(1, _HEAVY_FETCH_WORKERS), thread_name_prefix="fetch-slow"
+)
 
 
 def _cache_json_safe(value):
@@ -319,10 +330,49 @@ def seed_startup_caches() -> None:
 # ---------------------------------------------------------------------------
 # Scheduler & Orchestration
 # ---------------------------------------------------------------------------
+def _executor_for_task_label(label: str) -> concurrent.futures.ThreadPoolExecutor:
+    if label.startswith(("slow-tier", "startup-heavy")):
+        return _SLOW_EXECUTOR
+    return _SHARED_EXECUTOR
+
+
+def _run_task_with_health_on_executor(
+    executor: concurrent.futures.ThreadPoolExecutor,
+    func,
+    name: str | None = None,
+) -> None:
+    """Run a scheduled job on the given pool so it cannot starve fast-tier workers."""
+    task_name = name or getattr(func, "__name__", "task")
+    future = executor.submit(func)
+    start = time.perf_counter()
+    try:
+        future.result(timeout=_TASK_HARD_TIMEOUT_S)
+        duration = time.perf_counter() - start
+        from services.fetch_health import record_success
+
+        record_success(task_name, duration_s=duration)
+        if duration > _SLOW_FETCH_S:
+            logger.warning("task slow: %s took %.2fs", task_name, duration)
+    except concurrent.futures.TimeoutError:
+        future.cancel()
+        duration = time.perf_counter() - start
+        from services.fetch_health import record_failure
+
+        record_failure(task_name, error=TimeoutError(f"{task_name} timed out"), duration_s=duration)
+        logger.error("task timed out: %s (%.2fs)", task_name, duration)
+    except Exception as e:
+        duration = time.perf_counter() - start
+        from services.fetch_health import record_failure
+
+        record_failure(task_name, error=e, duration_s=duration)
+        logger.exception("task failed: %s", task_name)
+
+
 def _run_tasks(label: str, funcs: list, *, max_concurrency: int | None = None):
     """Run tasks concurrently and log any exceptions (do not fail silently)."""
     if not funcs:
         return
+    executor = _executor_for_task_label(label)
     if max_concurrency is None:
         if label.startswith("slow-tier"):
             max_concurrency = _SLOW_FETCH_CONCURRENCY
@@ -330,12 +380,13 @@ def _run_tasks(label: str, funcs: list, *, max_concurrency: int | None = None):
             max_concurrency = _STARTUP_HEAVY_CONCURRENCY
         else:
             max_concurrency = len(funcs)
-    max_concurrency = max(1, min(max_concurrency, len(funcs)))
+    pool_workers = getattr(executor, "_max_workers", len(funcs))
+    max_concurrency = max(1, min(max_concurrency, len(funcs), pool_workers))
 
     remaining_funcs = list(funcs)
     while remaining_funcs:
         batch, remaining_funcs = remaining_funcs[:max_concurrency], remaining_funcs[max_concurrency:]
-        futures = {_SHARED_EXECUTOR.submit(func): (func.__name__, time.perf_counter()) for func in batch}
+        futures = {executor.submit(func): (func.__name__, time.perf_counter()) for func in batch}
         _drain_task_futures(label, futures)
 
 
@@ -352,6 +403,13 @@ def _drain_task_futures(label: str, futures: dict):
             record_success(name, duration_s=duration)
             if duration > _SLOW_FETCH_S:
                 logger.warning(f"{label} task slow: {name} took {duration:.2f}s")
+        except concurrent.futures.TimeoutError:
+            future.cancel()
+            duration = time.perf_counter() - start
+            from services.fetch_health import record_failure
+
+            record_failure(name, error=TimeoutError(f"{name} timed out"), duration_s=duration)
+            logger.error("%s task timed out: %s (%.2fs)", label, name, duration)
         except Exception as e:
             duration = time.perf_counter() - start
             from services.fetch_health import record_failure
@@ -405,7 +463,6 @@ def update_slow_data():
     logger.info("Slow-tier data update starting...")
     slow_funcs = [
         fetch_news,
-        fetch_prediction_markets,
         fetch_earthquakes,
         fetch_firms_fires,
         fetch_firms_country_fires,
@@ -427,6 +484,9 @@ def update_slow_data():
         fetch_fishing_activity,
         fetch_power_plants,
         fetch_ukraine_air_raid_alerts,
+        fetch_malware_threats,
+        fetch_cyber_threats,
+        fetch_scm_suppliers,
     ]
     _run_tasks("slow-tier", slow_funcs)
     # Run correlation engine after all data is fresh
@@ -470,6 +530,15 @@ def _load_cctv_cache_for_startup() -> None:
         logger.warning("Startup CCTV cache load failed (non-fatal): %s", e)
 
 
+def _load_static_infrastructure_for_startup() -> None:
+    """Disk-backed reference layers — instant, no network."""
+    for func in (fetch_datacenters, fetch_military_bases, fetch_power_plants):
+        try:
+            func()
+        except Exception as e:
+            logger.warning("Startup static infrastructure load failed for %s: %s", func.__name__, e)
+
+
 def _run_delayed_startup_heavy_refresh() -> None:
     if _STARTUP_HEAVY_REFRESH_DELAY_S > 0:
         logger.info(
@@ -482,6 +551,7 @@ def _run_delayed_startup_heavy_refresh() -> None:
         "startup-heavy",
         [
             update_slow_data,
+            fetch_telegram_osint,
             fetch_volcanoes,
             fetch_viirs_change_nodes,
             fetch_unusual_whales,
@@ -520,6 +590,7 @@ def update_all_data(*, startup_mode: bool = False):
     logger.info("Full data update starting (parallel)...")
     # Preload Meshtastic map cache immediately (instant, from disk)
     seed_startup_caches()
+    _load_static_infrastructure_for_startup()
     with _data_lock:
         meshtastic_seeded = bool(latest_data.get("meshtastic_map_nodes"))
     if startup_mode:
@@ -596,22 +667,9 @@ def update_all_data(*, startup_mode: bool = False):
     # (the scheduled job also runs every 10 min for ongoing refresh).
     if startup_mode:
         try:
-            from services.cctv_pipeline import (
-                TFLJamCamIngestor, LTASingaporeIngestor, AustinTXIngestor,
-                NYCDOTIngestor, CaltransIngestor, ColoradoDOTIngestor,
-                WSDOTIngestor, GeorgiaDOTIngestor, IllinoisDOTIngestor,
-                MichiganDOTIngestor, WindyWebcamsIngestor, DGTNationalIngestor,
-                MadridCityIngestor, OSMTrafficCameraIngestor, get_all_cameras,
-            )
-            from services.cctv_pipeline import OSMALPRCameraIngestor
-            _startup_ingestors = [
-                TFLJamCamIngestor(), LTASingaporeIngestor(), AustinTXIngestor(),
-                NYCDOTIngestor(), CaltransIngestor(), ColoradoDOTIngestor(),
-                WSDOTIngestor(), GeorgiaDOTIngestor(), IllinoisDOTIngestor(),
-                MichiganDOTIngestor(), WindyWebcamsIngestor(), DGTNationalIngestor(),
-                MadridCityIngestor(), OSMTrafficCameraIngestor(),
-                OSMALPRCameraIngestor(),
-            ]
+            from services.cctv_pipeline import get_all_cameras, scheduled_cctv_ingestors
+
+            _startup_ingestors = [ing for ing, _name in scheduled_cctv_ingestors()]
             logger.info("Running CCTV ingest at startup (%d ingestors)...", len(_startup_ingestors))
             ingest_futures = {
                 _SHARED_EXECUTOR.submit(ing.ingest): ing.__class__.__name__
@@ -747,6 +805,39 @@ def start_scheduler():
         misfire_grace_time=120,
     )
 
+    # Telegram OSINT — hourly t.me/s channel scrape (kept off the 5-minute slow tier).
+    _telegram_interval_m = max(15, int(os.environ.get("TELEGRAM_OSINT_INTERVAL_MINUTES", "60")))
+    _scheduler.add_job(
+        lambda: _run_task_with_health(fetch_telegram_osint, "fetch_telegram_osint"),
+        "interval",
+        minutes=_telegram_interval_m,
+        next_run_time=datetime.utcnow() + timedelta(seconds=45),
+        id="telegram_osint",
+        max_instances=1,
+        misfire_grace_time=600,
+    )
+
+    # Prediction markets — own jittered cadence (Polymarket/Kalshi clearnet egress).
+    # Kept off the fixed 5-minute slow tier so poll timing is less fingerprintable.
+    from services.fetchers.prediction_markets import fetch_prediction_markets
+
+    _pm_interval_m = max(5, int(os.environ.get("PREDICTION_MARKETS_INTERVAL_MINUTES", "7")))
+    _pm_jitter_s = max(0, int(os.environ.get("PREDICTION_MARKETS_SCHEDULER_JITTER_S", "240")))
+    _pm_initial_max_s = max(0, int(os.environ.get("PREDICTION_MARKETS_INITIAL_DELAY_MAX_S", "180")))
+    _pm_first_run = datetime.utcnow() + timedelta(
+        seconds=random.randint(30, max(30, _pm_initial_max_s))
+    )
+    _scheduler.add_job(
+        lambda: _run_task_with_health(fetch_prediction_markets, "fetch_prediction_markets"),
+        "interval",
+        minutes=_pm_interval_m,
+        jitter=_pm_jitter_s,
+        next_run_time=_pm_first_run,
+        id="prediction_markets",
+        max_instances=1,
+        misfire_grace_time=300,
+    )
+
     # Weather alerts — every 5 minutes (time-critical, separate from slow tier)
     _scheduler.add_job(
         lambda: _run_task_with_health(fetch_weather_alerts, "fetch_weather_alerts"),
@@ -777,6 +868,39 @@ def start_scheduler():
         misfire_grace_time=60,
     )
 
+    # Flight observation pruning — drops icao24 → first_seen_at entries we
+    # haven't seen in an hour. Same cadence as AIS prune for symmetry; the
+    # per-tick scan is O(in-flight aircraft) so it's cheap.
+    from services.fetchers.flight_observations import prune as _prune_flight_observations
+    _scheduler.add_job(
+        lambda: _run_task_with_health(_prune_flight_observations, "prune_flight_observations"),
+        "interval",
+        minutes=5,
+        id="flight_observation_prune",
+        max_instances=1,
+        misfire_grace_time=60,
+    )
+
+    # AISHub REST fallback — slow polling when the AISStream WebSocket
+    # primary is offline. Configurable interval via
+    # AISHUB_POLL_INTERVAL_MINUTES env (default 20 min). Operator must
+    # set AISHUB_USERNAME to opt in. The fetcher is gated internally on
+    # the primary being disconnected, so this job is cheap when the
+    # WebSocket is healthy (early-returns after a status check).
+    from services.fetchers.aishub_fallback import (
+        aishub_poll_interval_minutes,
+        fetch_aishub_vessels,
+    )
+    _aishub_interval = aishub_poll_interval_minutes()
+    _scheduler.add_job(
+        lambda: _run_task_with_health(fetch_aishub_vessels, "fetch_aishub_vessels"),
+        "interval",
+        minutes=_aishub_interval,
+        id="aishub_fallback",
+        max_instances=1,
+        misfire_grace_time=120,
+    )
+
     # Route database — bulk refresh from vrs-standing-data.adsb.lol every 5
     # days. Replaces the legacy /api/0/routeset POST (blocked under our UA,
     # and broken upstream). Airline schedules change on a quarterly cycle,
@@ -811,7 +935,7 @@ def start_scheduler():
 
     # GDELT — every 30 minutes (downloads 32 ZIP files per call, avoid rate limits)
     _scheduler.add_job(
-        lambda: _run_task_with_health(fetch_gdelt, "fetch_gdelt"),
+        lambda: _run_task_with_health_on_executor(_SLOW_EXECUTOR, fetch_gdelt, "fetch_gdelt"),
         "interval",
         minutes=30,
         id="gdelt",
@@ -819,7 +943,9 @@ def start_scheduler():
         misfire_grace_time=120,
     )
     _scheduler.add_job(
-        lambda: _run_task_with_health(update_liveuamap, "update_liveuamap"),
+        lambda: _run_task_with_health_on_executor(
+            _SLOW_EXECUTOR, update_liveuamap, "update_liveuamap"
+        ),
         "interval",
         minutes=30,
         id="liveuamap",
@@ -829,39 +955,9 @@ def start_scheduler():
 
     # CCTV pipeline refresh — runs all ingestors, then refreshes in-memory data.
     # Delay the first run slightly so startup serves cached/DB-backed data first.
-    from services.cctv_pipeline import (
-        TFLJamCamIngestor,
-        LTASingaporeIngestor,
-        AustinTXIngestor,
-        NYCDOTIngestor,
-        CaltransIngestor,
-        ColoradoDOTIngestor,
-        WSDOTIngestor,
-        GeorgiaDOTIngestor,
-        IllinoisDOTIngestor,
-        MichiganDOTIngestor,
-        WindyWebcamsIngestor,
-        DGTNationalIngestor,
-        MadridCityIngestor,
-        OSMTrafficCameraIngestor,
-    )
+    from services.cctv_pipeline import scheduled_cctv_ingestors
 
-    _cctv_ingestors = [
-        (TFLJamCamIngestor(), "cctv_tfl"),
-        (LTASingaporeIngestor(), "cctv_lta"),
-        (AustinTXIngestor(), "cctv_atx"),
-        (NYCDOTIngestor(), "cctv_nyc"),
-        (CaltransIngestor(), "cctv_caltrans"),
-        (ColoradoDOTIngestor(), "cctv_codot"),
-        (WSDOTIngestor(), "cctv_wsdot"),
-        (GeorgiaDOTIngestor(), "cctv_gdot"),
-        (IllinoisDOTIngestor(), "cctv_idot"),
-        (MichiganDOTIngestor(), "cctv_mdot"),
-        (WindyWebcamsIngestor(), "cctv_windy"),
-        (DGTNationalIngestor(), "cctv_dgt"),
-        (MadridCityIngestor(), "cctv_madrid"),
-        (OSMTrafficCameraIngestor(), "cctv_osm"),
-    ]
+    _cctv_ingestors = scheduled_cctv_ingestors()
 
     def _run_cctv_ingest_cycle():
         from services.fetchers._store import is_any_active
@@ -880,7 +976,9 @@ def start_scheduler():
             logger.warning(f"CCTV post-ingest refresh failed: {e}")
 
     _scheduler.add_job(
-        _run_cctv_ingest_cycle,
+        lambda: _run_task_with_health_on_executor(
+            _SLOW_EXECUTOR, _run_cctv_ingest_cycle, "cctv_ingest_cycle"
+        ),
         "interval",
         minutes=10,
         id="cctv_ingest",
@@ -950,6 +1048,16 @@ def start_scheduler():
         misfire_grace_time=600,
     )
 
+    # Sentinel-2 road corridor freight trends — daily (opt-in, heavy CDSE usage)
+    _scheduler.add_job(
+        lambda: _run_task_with_health(fetch_road_corridor_trends, "fetch_road_corridor_trends"),
+        "interval",
+        hours=24,
+        id="road_corridor_trends",
+        max_instances=1,
+        misfire_grace_time=3600,
+    )
+
     # FIMI disinformation index — every 12 hours (weekly editorial feed)
     _scheduler.add_job(
         lambda: _run_task_with_health(fetch_fimi, "fetch_fimi"),
@@ -960,16 +1068,19 @@ def start_scheduler():
         misfire_grace_time=600,
     )
 
-    # UAP sightings (NUFORC) — daily at 12:00 UTC
+    # UAP sightings (NUFORC) — weekly Mondays 12:00 UTC. Rolling ~60-day window;
+    # each self-hosted install pulls live nuforc.org so operators see current
+    # reports (typically ~400–500 mappable pins). Disk cache TTL defaults to 7d.
     _scheduler.add_job(
         lambda: _run_task_with_health(
             lambda: fetch_uap_sightings(force_refresh=True),
             "fetch_uap_sightings",
         ),
         "cron",
+        day_of_week="mon",
         hour=12,
         minute=0,
-        id="uap_sightings_daily",
+        id="uap_sightings_weekly",
         max_instances=1,
         misfire_grace_time=3600,
     )
@@ -1094,7 +1205,10 @@ def start_scheduler():
 def stop_scheduler():
     if _scheduler:
         _scheduler.shutdown(wait=False)
+    _SLOW_EXECUTOR.shutdown(wait=False, cancel_futures=True)
 
 
 def get_latest_data():
-    return get_latest_data_subset(*latest_data.keys())
+    from services.fetchers._store import get_latest_data_deepcopy_snapshot
+
+    return get_latest_data_deepcopy_snapshot()

backend/services/env_check.py

@@ -46,6 +46,7 @@ _CRITICAL_WARN = {
 
 _OPTIONAL = {
     "AIS_API_KEY": "AIS vessel streaming (ships layer will be empty without it)",
+    "GFW_API_TOKEN": "Global Fishing Watch fishing-vessel activity (fishing_activity layer)",
     "LTA_ACCOUNT_KEY": "Singapore LTA traffic cameras (CCTV layer)",
     "PUBLIC_API_KEY": "Optional client auth for public endpoints (recommended for exposed deployments)",
 }

backend/services/fetchers/_store.py

@@ -69,6 +69,11 @@ class DashboardData(TypedDict, total=False):
     sar_scenes: List[Dict[str, Any]]
     sar_anomalies: List[Dict[str, Any]]
     sar_aoi_coverage: List[Dict[str, Any]]
+    road_corridor_trends: Dict[str, Any]
+    malware_threats: Dict[str, Any]
+    cyber_threats: Dict[str, Any]
+    scm_suppliers: Dict[str, Any]
+    telegram_osint: Dict[str, Any]
 
 
 # In-memory store
@@ -119,6 +124,11 @@ latest_data: DashboardData = {
     "sar_scenes": [],
     "sar_anomalies": [],
     "sar_aoi_coverage": [],
+    "road_corridor_trends": {"updated_at": None, "corridors": []},
+    "malware_threats": {"threats": [], "total": 0, "timestamp": None},
+    "cyber_threats": {"threats": [], "stats": {}},
+    "scm_suppliers": {"suppliers": [], "total": 0, "critical_count": 0},
+    "telegram_osint": {"posts": [], "total": 0, "geolocated": 0, "timestamp": None},
 }
 
 # Per-source freshness timestamps
@@ -230,27 +240,35 @@ _active_layers_version: int = 0
 def bump_active_layers_version() -> None:
     """Increment the active-layer version when frontend toggles change response shape."""
     global _active_layers_version
-    _active_layers_version += 1
+    with _data_lock:
+        _active_layers_version += 1
 
 
 def get_active_layers_version() -> int:
     """Return the current active-layer version (for ETag generation)."""
-    return _active_layers_version
+    with _data_lock:
+        return _active_layers_version
 
 
 def get_latest_data_subset(*keys: str) -> DashboardData:
     """Return a deep snapshot of only the requested top-level keys.
 
-    This avoids cloning the entire dashboard store for endpoints that only need
-    a small tier-specific subset.  Deep copy ensures callers cannot mutate
-    nested structures (e.g. individual flight dicts) and affect the live store.
+    Grabs references under the lock, then deep-copies outside it so fetcher
+    writers are not blocked for the duration of a large clone (#375).
     """
     with _data_lock:
-        snap: DashboardData = {}
-        for key in keys:
-            value = latest_data.get(key)
-            snap[key] = copy.deepcopy(value)
-        return snap
+        items = [(key, latest_data.get(key)) for key in keys]
+    snap: DashboardData = {}
+    for key, value in items:
+        snap[key] = copy.deepcopy(value)
+    return snap
+
+
+def get_latest_data_deepcopy_snapshot() -> DashboardData:
+    """Deep-copy the full dashboard for legacy /api/live-data consumers."""
+    with _data_lock:
+        items = list(latest_data.items())
+    return {key: copy.deepcopy(value) for key, value in items}
 
 
 def get_latest_data_subset_refs(*keys: str) -> DashboardData:
@@ -320,6 +338,12 @@ active_layers: dict[str, bool] = {
     "ai_intel": True,
     "crowdthreat": False,
     "sar": True,
+    "road_corridor_trends": False,
+    "malware_c2": False,
+    "submarine_cables": False,
+    "scm_suppliers": False,
+    "cyber_threats": False,
+    "telegram_osint": True,
 }
 
 

backend/services/fetchers/aircraft_database.py

@@ -38,8 +38,6 @@ _S3_NS = "{http://s3.amazonaws.com/doc/2006-03-01/}"
 _REFRESH_INTERVAL_S = 5 * 24 * 3600
 _LIST_TIMEOUT_S = 30
 _DOWNLOAD_TIMEOUT_S = 600
-from services.network_utils import DEFAULT_USER_AGENT as _USER_AGENT
-
 _lock = threading.RLock()
 _aircraft_by_hex: dict[str, dict[str, str]] = {}
 _last_refresh = 0.0

backend/services/fetchers/aishub_fallback.py

@@ -0,0 +1,290 @@
+"""AISHub REST fallback for ship tracking when AISStream is unreachable.
+
+Background
+----------
+On 2026-05-23 ``stream.aisstream.io`` (the primary live AIS WebSocket feed)
+went fully offline. Backend's only ship signal vanished. This module polls
+``data.aishub.net``'s free REST API on a slow cadence (default 20 min) when
+the WebSocket primary is disconnected, so the ships layer doesn't go fully
+dark during upstream outages.
+
+Why 20 minutes
+--------------
+AISHub's free tier is rate-limited and explicitly asks consumers to be
+courteous. 20 minutes is well inside their limits, gives ships time to
+move enough to look "alive" on the map, and won't drain their service.
+Configurable via the ``AISHUB_POLL_INTERVAL_MINUTES`` env var (clamped to
+[1, 360]).
+
+Why slow vs primary
+-------------------
+This is degraded mode, not a replacement. A ship at 20 knots moves about
+6 nautical miles in 20 minutes — visible on the map but coarser than the
+real-time WebSocket signal. When AISStream comes back online, the
+WebSocket data will overwrite these records via the same ``_vessels``
+dict and ``source`` will flip from ``"aishub"`` back to upstream-live.
+
+Opt-in
+------
+Operator must set ``AISHUB_USERNAME`` (free registration at
+https://www.aishub.net/api). If unset, this fetcher is a no-op.
+"""
+
+from __future__ import annotations
+
+import json
+import logging
+import os
+import time
+from typing import Any
+
+from services.network_utils import fetch_with_curl
+
+logger = logging.getLogger(__name__)
+
+
+AISHUB_URL = "https://data.aishub.net/ws.php"
+
+
+def aishub_username() -> str:
+    return str(os.environ.get("AISHUB_USERNAME", "")).strip()
+
+
+def aishub_fallback_enabled() -> bool:
+    """Returns True only when the operator has registered with AISHub and
+    set ``AISHUB_USERNAME``. The presence of the username is the opt-in."""
+    return bool(aishub_username())
+
+
+def aishub_poll_interval_minutes() -> int:
+    """Default 20 minutes. Clamped to [1, 360] so a hostile or
+    misconfigured env var can't either hammer the upstream or silence the
+    fallback for a day."""
+    raw = os.environ.get("AISHUB_POLL_INTERVAL_MINUTES", "20")
+    try:
+        value = int(str(raw).strip())
+    except (TypeError, ValueError):
+        value = 20
+    return max(1, min(360, value))
+
+
+def _should_run_fallback() -> bool:
+    """Only run when the primary WebSocket is disconnected. Avoids stomping
+    over fresher live data when AISStream is healthy.
+
+    Returns False if:
+      * AISHub isn't configured (no username)
+      * AISStream primary is currently connected (recent vessel messages)
+
+    Returns True only when AIS is configured-but-down. The
+    ``proxy_spawn_count > 0`` guard means "the primary has at least tried
+    to run" — if the user set AISHUB_USERNAME but not AIS_API_KEY at all,
+    AISHub will still serve as a primary on its own slow cadence.
+    """
+    if not aishub_fallback_enabled():
+        return False
+    try:
+        from services.ais_stream import ais_proxy_status
+        status = ais_proxy_status() or {}
+    except Exception:
+        return True  # ais_stream not importable? still try AISHub.
+    # If the WebSocket primary is connected, skip the fallback — fresher
+    # data is already flowing.
+    if status.get("connected") is True:
+        return False
+    return True
+
+
+def _parse_aishub_response(payload: str) -> list[dict]:
+    """Parse the AISHub JSON response into a list of vessel records.
+
+    Successful response shape::
+
+        [
+            {"ERROR": false, "USERNAME": "...", "FORMAT": "1", "RECORDS": N},
+            [{"MMSI": ..., "LATITUDE": ..., "LONGITUDE": ..., ...}, ...]
+        ]
+
+    Error response shape::
+
+        [{"ERROR": true, "ERROR_MESSAGE": "..."}]
+
+    Empty payload (e.g. silent rate-limit drop) returns ``[]``.
+    """
+    if not payload or not payload.strip():
+        return []
+    try:
+        data = json.loads(payload)
+    except json.JSONDecodeError as e:
+        logger.warning("AISHub: response is not JSON: %s", e)
+        return []
+    if not isinstance(data, list) or not data:
+        return []
+    header = data[0] if isinstance(data[0], dict) else {}
+    if header.get("ERROR") is True:
+        logger.warning(
+            "AISHub: upstream error: %s",
+            header.get("ERROR_MESSAGE", "<unspecified>"),
+        )
+        return []
+    if len(data) < 2 or not isinstance(data[1], list):
+        return []
+    return [row for row in data[1] if isinstance(row, dict)]
+
+
+def _normalize_record(row: dict) -> dict | None:
+    """Map an AISHub vessel record to our internal vessel schema.
+
+    Returns None when the record can't be used (no MMSI, bad position,
+    sentinel "not available" lat/lng).
+    """
+    try:
+        mmsi = int(row.get("MMSI") or 0)
+    except (TypeError, ValueError):
+        return None
+    if not mmsi:
+        return None
+    try:
+        lat = float(row.get("LATITUDE"))
+        lng = float(row.get("LONGITUDE"))
+    except (TypeError, ValueError):
+        return None
+    # AIS uses 91/181 as "no position available" sentinels.
+    if abs(lat) > 90 or abs(lng) > 180:
+        return None
+    if lat == 91.0 or lng == 181.0:
+        return None
+    # SOG raw 102.3 is "speed not available"; sanitize to 0.
+    try:
+        sog_raw = float(row.get("SOG") or 0)
+    except (TypeError, ValueError):
+        sog_raw = 0.0
+    sog = 0.0 if sog_raw >= 102.2 else sog_raw
+    try:
+        cog = float(row.get("COG") or 0)
+    except (TypeError, ValueError):
+        cog = 0.0
+    try:
+        heading_raw = int(row.get("HEADING") or 511)
+    except (TypeError, ValueError):
+        heading_raw = 511
+    # AIS heading sentinel 511 = "not available" — fall back to COG.
+    heading = heading_raw if heading_raw != 511 else cog
+    try:
+        ais_type = int(row.get("TYPE") or 0)
+    except (TypeError, ValueError):
+        ais_type = 0
+    return {
+        "mmsi": mmsi,
+        "lat": lat,
+        "lng": lng,
+        "sog": sog,
+        "cog": cog,
+        "heading": heading,
+        "name": str(row.get("NAME") or "").strip() or "UNKNOWN",
+        "callsign": str(row.get("CALLSIGN") or "").strip(),
+        "destination": str(row.get("DEST") or "").strip().replace("@", "") or "",
+        "imo": int(row.get("IMO") or 0),
+        "ais_type_code": ais_type,
+    }
+
+
+def fetch_aishub_vessels() -> int:
+    """Poll AISHub and merge vessels into the shared ``_vessels`` store.
+
+    Returns the number of vessels updated (0 on skip, error, or no data).
+    Designed to be called by the APScheduler tier — see
+    ``data_fetcher.py`` for the 20-minute interval job that wraps this.
+    """
+    if not _should_run_fallback():
+        logger.debug("AISHub fallback skipped: primary connected or not configured")
+        return 0
+
+    username = aishub_username()
+    url = (
+        f"{AISHUB_URL}?username={username}&format=1&output=json"
+        f"&compress=0"
+    )
+
+    try:
+        response = fetch_with_curl(url, timeout=30)
+    except Exception as e:
+        logger.warning("AISHub fetch failed: %s", e)
+        return 0
+
+    if not response or response.status_code != 200:
+        logger.warning(
+            "AISHub HTTP %s",
+            getattr(response, "status_code", "None"),
+        )
+        return 0
+
+    rows = _parse_aishub_response(getattr(response, "text", "") or "")
+    if not rows:
+        return 0
+
+    # Inline imports to avoid a circular dependency at module load time
+    # (ais_stream imports lots of things and is loaded by main.py).
+    from services.ais_stream import (
+        _vessels,
+        _vessels_lock,
+        _record_vessel_trail_locked,
+        classify_vessel,
+        get_country_from_mmsi,
+    )
+
+    now = time.time()
+    count = 0
+    with _vessels_lock:
+        for row in rows:
+            normalized = _normalize_record(row)
+            if normalized is None:
+                continue
+            mmsi = normalized["mmsi"]
+            vessel = _vessels.setdefault(mmsi, {"mmsi": mmsi})
+            # Don't overwrite fresher live data: if the WebSocket pushed an
+            # update for this MMSI more recently than now-1s (race during
+            # the brief reconnection window) keep the live one.
+            last = float(vessel.get("_updated") or 0)
+            if last > now - 1:
+                continue
+            vessel.update(
+                {
+                    "lat": normalized["lat"],
+                    "lng": normalized["lng"],
+                    "sog": normalized["sog"],
+                    "cog": normalized["cog"],
+                    "heading": normalized["heading"],
+                    "_updated": now,
+                    "source": "aishub",
+                }
+            )
+            if normalized["name"] and normalized["name"] != "UNKNOWN":
+                vessel["name"] = normalized["name"]
+            if normalized["callsign"]:
+                vessel["callsign"] = normalized["callsign"]
+            if normalized["destination"]:
+                vessel["destination"] = normalized["destination"]
+            if normalized["imo"]:
+                vessel["imo"] = normalized["imo"]
+            if normalized["ais_type_code"]:
+                vessel["ais_type_code"] = normalized["ais_type_code"]
+                vessel["type"] = classify_vessel(normalized["ais_type_code"], mmsi)
+            if not vessel.get("country"):
+                vessel["country"] = get_country_from_mmsi(mmsi)
+            _record_vessel_trail_locked(
+                mmsi,
+                normalized["lat"],
+                normalized["lng"],
+                normalized["sog"],
+                now,
+            )
+            count += 1
+
+    if count:
+        logger.info(
+            "AISHub fallback: merged %d vessels (poll interval %d min)",
+            count,
+            aishub_poll_interval_minutes(),
+        )
+    return count

backend/services/fetchers/cyber_status.py

@@ -0,0 +1,62 @@
+"""CISA KEV + cyber threat stats (Osiris port)."""
+from __future__ import annotations
+
+import logging
+from datetime import datetime, timezone
+from typing import Any
+
+from services.fetchers._store import _data_lock, _mark_fresh, is_any_active, latest_data
+from services.network_utils import fetch_with_curl
+
+logger = logging.getLogger(__name__)
+
+
+def fetch_cyber_threats() -> dict[str, Any]:
+    if not is_any_active("cyber_threats"):
+        return latest_data.get("cyber_threats") or {"threats": [], "stats": {}}
+
+    results: dict[str, Any] = {"threats": [], "stats": {}, "timestamp": datetime.now(timezone.utc).isoformat()}
+    try:
+        resp = fetch_with_curl(
+            "https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json",
+            timeout=15,
+        )
+        if resp.status_code == 200:
+            data = resp.json()
+            vulns = data.get("vulnerabilities") or []
+            results["stats"]["cisa_total"] = len(vulns)
+            now = datetime.now(timezone.utc)
+            recent = []
+            for v in vulns:
+                try:
+                    added = datetime.fromisoformat(v.get("dateAdded", "").replace("Z", "+00:00"))
+                    days = (now - added).total_seconds() / 86400
+                except Exception:
+                    continue
+                if days <= 30:
+                    recent.append(v)
+            recent = recent[:10]
+            results["threats"] = [
+                {
+                    "id": v.get("cveID"),
+                    "name": v.get("vulnerabilityName"),
+                    "vendor": v.get("vendorProject"),
+                    "product": v.get("product"),
+                    "severity": "CRITICAL",
+                    "date": v.get("dateAdded"),
+                    "due": v.get("dueDate"),
+                    "source": "CISA KEV",
+                }
+                for v in recent
+            ]
+    except Exception as exc:
+        logger.warning("CISA KEV fetch failed: %s", exc)
+
+    count = len(results["threats"])
+    results["stats"]["active_cves"] = count
+    results["stats"]["threat_level"] = "CRITICAL" if count >= 8 else "HIGH" if count >= 4 else "ELEVATED"
+
+    with _data_lock:
+        latest_data["cyber_threats"] = results
+    _mark_fresh("cyber_threats")
+    return results

backend/services/fetchers/earth_observation.py

@@ -692,7 +692,8 @@ _NUFORC_TILESET = "nuforc.cmm18aqea06bu1mmselhpnano-0ce5v"
 _NUFORC_TOKEN = os.environ.get("NUFORC_MAPBOX_TOKEN", "").strip()
 _NUFORC_RADIUS_M = 200_000  # 200 km query radius
 _NUFORC_LIMIT = 50  # max features per tilequery call
-_NUFORC_RECENT_DAYS = int(os.environ.get("NUFORC_RECENT_DAYS", "60"))
+# Rolling window shown on the map (~2 calendar months). Override via NUFORC_RECENT_DAYS.
+_NUFORC_RECENT_DAYS = max(1, int(os.environ.get("NUFORC_RECENT_DAYS", "60")))
 _NUFORC_HF_FALLBACK_LIMIT = max(25, int(os.environ.get("NUFORC_HF_FALLBACK_LIMIT", "250")))
 _NUFORC_HF_GEOCODE_LIMIT = max(25, int(os.environ.get("NUFORC_HF_GEOCODE_LIMIT", "150")))
 _NUFORC_GEOCODE_WORKERS = max(1, int(os.environ.get("NUFORC_GEOCODE_WORKERS", "1")))
@@ -700,6 +701,12 @@ _NUFORC_GEOCODE_WORKERS = max(1, int(os.environ.get("NUFORC_GEOCODE_WORKERS", "1
 # practice, so a 0.3s spacing keeps us well under any soft throttle while
 # still rebuilding a full 12-month window in ~10 minutes.
 _NUFORC_GEOCODE_SPACING_S = float(os.environ.get("NUFORC_GEOCODE_SPACING_S", "0.3"))
+# Disk cache TTL — match the weekly scheduler so restarts between fetches still
+# serve the same rolling 60-day snapshot without hammering nuforc.org daily.
+_NUFORC_CACHE_TTL_S = max(
+    3600,
+    int(os.environ.get("NUFORC_CACHE_TTL_HOURS", "168")) * 3600,
+)
 _NUFORC_DATA_DIR = Path(__file__).resolve().parent.parent.parent / "data"
 _NUFORC_SIGHTINGS_CACHE_FILE = _NUFORC_DATA_DIR / "nuforc_recent_sightings.json"
 _NUFORC_LOCATION_CACHE_FILE = _NUFORC_DATA_DIR / "nuforc_location_cache.json"
@@ -766,6 +773,35 @@ def _fetch_nuforc_tilequery(lng: float, lat: float) -> list[dict]:
     return []
 
 
+def _uap_cutoff_date_str() -> str:
+    return (datetime.utcnow() - timedelta(days=_NUFORC_RECENT_DAYS)).strftime("%Y-%m-%d")
+
+
+def _uap_sighting_date_str(sighting: dict) -> str | None:
+    """Normalize a sighting row to YYYY-MM-DD for window filtering."""
+    from services.fetchers.nuforc_enrichment import _parse_date
+
+    raw = str(sighting.get("date_time") or sighting.get("occurred") or "").strip()
+    if not raw:
+        return None
+    parsed = _parse_date(raw)
+    if parsed:
+        return parsed
+    if len(raw) >= 10 and raw[4] == "-" and raw[7] == "-":
+        return raw[:10]
+    return None
+
+
+def _filter_uap_sightings_recent(sightings: list[dict]) -> list[dict]:
+    """Drop anything outside the rolling NUFORC_RECENT_DAYS window."""
+    cutoff = _uap_cutoff_date_str()
+    return [
+        sighting
+        for sighting in sightings
+        if (_uap_sighting_date_str(sighting) or "") >= cutoff
+    ]
+
+
 def _parse_nuforc_tile_date(value: str) -> datetime | None:
     raw = str(value or "").strip()
     if not raw:
@@ -802,19 +838,41 @@ def _load_nuforc_sightings_cache(*, force_refresh: bool = False) -> list[dict] |
         built_dt = datetime.fromisoformat(built) if built else None
         if built_dt is None:
             return None
-        if (datetime.utcnow() - built_dt).total_seconds() > 86400:
+        if (datetime.utcnow() - built_dt).total_seconds() > _NUFORC_CACHE_TTL_S:
+            return None
+        if raw.get("cutoff_days") != _NUFORC_RECENT_DAYS:
+            logger.info(
+                "UAP sightings: cache cutoff_days mismatch (%s != %s); rebuilding",
+                raw.get("cutoff_days"),
+                _NUFORC_RECENT_DAYS,
+            )
             return None
         sightings = raw.get("sightings")
         if isinstance(sightings, list):
             if len(sightings) <= 0:
                 logger.info("UAP sightings: cache is fresh but empty; rebuilding")
                 return None
+            filtered = _filter_uap_sightings_recent(sightings)
+            if not filtered:
+                logger.warning(
+                    "UAP sightings: cache had %d rows but none within last %d days; rebuilding",
+                    len(sightings),
+                    _NUFORC_RECENT_DAYS,
+                )
+                return None
+            if len(filtered) < len(sightings):
+                logger.info(
+                    "UAP sightings: dropped %d stale cached rows outside %d-day window",
+                    len(sightings) - len(filtered),
+                    _NUFORC_RECENT_DAYS,
+                )
             logger.info(
-                "UAP sightings: loaded %d cached reports from %s",
-                len(sightings),
+                "UAP sightings: loaded %d cached reports from %s (within %d-day window)",
+                len(filtered),
                 built,
+                _NUFORC_RECENT_DAYS,
             )
-            return sightings
+            return filtered
     except Exception as e:
         logger.warning("UAP sightings: cache load error: %s", e)
     return None
@@ -828,6 +886,7 @@ def _save_nuforc_sightings_cache(sightings: list[dict]) -> None:
         _NUFORC_DATA_DIR.mkdir(parents=True, exist_ok=True)
         payload = {
             "built": datetime.utcnow().isoformat(),
+            "cutoff_days": _NUFORC_RECENT_DAYS,
             "count": len(sightings),
             "sightings": sightings,
         }
@@ -1035,27 +1094,128 @@ def _nuforc_months_for_window(days: int) -> list[str]:
     return months
 
 
-def _nuforc_fetch_month_live(yyyymm: str, cookie_jar: Path) -> list[dict]:
-    """Pull one month of NUFORC sightings via the live wpDataTables AJAX.
-
-    Returns a list of raw row dicts with the fields we care about:
-    id, occurred (YYYY-MM-DD), posted (YYYY-MM-DD), city, state, country,
-    shape_raw, summary, explanation. Empty list on any failure — caller
-    decides whether a failure is fatal.
-    """
+def _parse_nuforc_live_datatables_rows(raw_rows: list) -> list[dict]:
+    """Parse wpDataTables ``data`` array into normalized row dicts."""
     from services.fetchers.nuforc_enrichment import _parse_date
 
-    curl_bin = shutil.which("curl") or "curl"
+    out: list[dict] = []
+    for raw in raw_rows:
+        if not isinstance(raw, list) or len(raw) < 8:
+            continue
+        link_html = str(raw[0] or "")
+        occurred_raw = str(raw[1] or "")
+        city = str(raw[2] or "").strip()
+        state = str(raw[3] or "").strip()
+        country = str(raw[4] or "").strip()
+        shape_raw = (str(raw[5] or "").strip() or "Unknown")
+        summary = str(raw[6] or "").strip()
+        reported_raw = str(raw[7] or "")
+        explanation = str(raw[9] or "").strip() if len(raw) > 9 and raw[9] else ""
+
+        occurred_ymd = _parse_date(occurred_raw)
+        if not occurred_ymd:
+            continue
+        if not city and not state and not country:
+            continue
+
+        id_match = _NUFORC_LIVE_SIGHTING_ID_RE.search(link_html)
+        if id_match:
+            sighting_id = f"NUFORC-{id_match.group(1)}"
+        else:
+            digest = hashlib.sha1(
+                f"{occurred_ymd}|{city}|{state}|{summary}".encode("utf-8", "ignore")
+            ).hexdigest()[:12]
+            sighting_id = f"NUFORC-{digest}"
+
+        if summary and len(summary) > 280:
+            summary = summary[:277] + "..."
+        if not summary:
+            summary = "Sighting reported"
+
+        out.append({
+            "id": sighting_id,
+            "occurred": occurred_ymd,
+            "posted": _parse_date(reported_raw) or occurred_ymd,
+            "city": city,
+            "state": state,
+            "country": country,
+            "shape_raw": shape_raw,
+            "summary": summary,
+            "explanation": explanation,
+        })
+    return out
+
+
+def _nuforc_fetch_month_live_requests(yyyymm: str) -> list[dict]:
+    """Live NUFORC month fetch via requests (Windows-safe when curl is disabled)."""
+    import requests
+
     index_url = _NUFORC_LIVE_INDEX_URL.format(yyyymm=yyyymm)
     ajax_url = _NUFORC_LIVE_AJAX_URL.format(yyyymm=yyyymm)
-
-    if not external_curl_fallback_enabled():
+    headers = {"User-Agent": _nuforc_live_user_agent()}
+    session = requests.Session()
+    session.headers.update(headers)
+    try:
+        index_res = session.get(index_url, timeout=60)
+    except requests.RequestException as e:
+        logger.warning("NUFORC live (requests): index fetch failed for %s: %s", yyyymm, e)
+        return []
+    if index_res.status_code != 200 or not index_res.text:
         logger.warning(
-            "NUFORC live: external curl disabled on Windows for %s; "
-            "set SHADOWBROKER_ENABLE_WINDOWS_CURL_FALLBACK=1 to opt in.",
+            "NUFORC live (requests): index HTTP %s for %s",
+            index_res.status_code,
             yyyymm,
         )
         return []
+    nonce_match = _NUFORC_LIVE_NONCE_RE.search(index_res.text)
+    if not nonce_match:
+        logger.warning("NUFORC live (requests): wdtNonce not found for %s", yyyymm)
+        return []
+    nonce = nonce_match.group(1)
+    post_data = (
+        "draw=1"
+        "&columns%5B0%5D%5Bdata%5D=0&columns%5B0%5D%5Bsearchable%5D=true&columns%5B0%5D%5Borderable%5D=false"
+        "&columns%5B1%5D%5Bdata%5D=1&columns%5B1%5D%5Bsearchable%5D=true&columns%5B1%5D%5Borderable%5D=true"
+        "&order%5B0%5D%5Bcolumn%5D=1&order%5B0%5D%5Bdir%5D=desc"
+        "&start=0&length=-1"
+        "&search%5Bvalue%5D=&search%5Bregex%5D=false"
+        f"&wdtNonce={nonce}"
+    )
+    try:
+        ajax_res = session.post(
+            ajax_url,
+            data=post_data,
+            headers={
+                **headers,
+                "Referer": index_url,
+                "X-Requested-With": "XMLHttpRequest",
+                "Content-Type": "application/x-www-form-urlencoded",
+            },
+            timeout=120,
+        )
+    except requests.RequestException as e:
+        logger.warning("NUFORC live (requests): ajax failed for %s: %s", yyyymm, e)
+        return []
+    if ajax_res.status_code != 200 or not ajax_res.text:
+        logger.warning(
+            "NUFORC live (requests): ajax HTTP %s for %s",
+            ajax_res.status_code,
+            yyyymm,
+        )
+        return []
+    try:
+        payload = ajax_res.json()
+    except json.JSONDecodeError as e:
+        logger.warning("NUFORC live (requests): ajax JSON decode failed for %s: %s", yyyymm, e)
+        return []
+    return _parse_nuforc_live_datatables_rows(payload.get("data") or [])
+
+
+def _nuforc_fetch_month_live_curl(yyyymm: str, cookie_jar: Path) -> list[dict]:
+    """Pull one month of NUFORC sightings via curl + wpDataTables AJAX."""
+    curl_bin = shutil.which("curl") or "curl"
+    index_url = _NUFORC_LIVE_INDEX_URL.format(yyyymm=yyyymm)
+    ajax_url = _NUFORC_LIVE_AJAX_URL.format(yyyymm=yyyymm)
 
     # Step 1: GET the month index to capture session cookies + fresh nonce.
     try:
@@ -1125,65 +1285,27 @@ def _nuforc_fetch_month_live(yyyymm: str, cookie_jar: Path) -> list[dict]:
         logger.warning("NUFORC live: ajax JSON decode failed for %s: %s", yyyymm, e)
         return []
 
-    raw_rows = payload.get("data") or []
-    out: list[dict] = []
-    for raw in raw_rows:
-        if not isinstance(raw, list) or len(raw) < 8:
-            continue
-        link_html = str(raw[0] or "")
-        occurred_raw = str(raw[1] or "")
-        city = str(raw[2] or "").strip()
-        state = str(raw[3] or "").strip()
-        country = str(raw[4] or "").strip()
-        shape_raw = (str(raw[5] or "").strip() or "Unknown")
-        summary = str(raw[6] or "").strip()
-        reported_raw = str(raw[7] or "")
-        explanation = str(raw[9] or "").strip() if len(raw) > 9 and raw[9] else ""
+    return _parse_nuforc_live_datatables_rows(payload.get("data") or [])
 
-        occurred_ymd = _parse_date(occurred_raw)
-        if not occurred_ymd:
-            continue
-        if not city and not state and not country:
-            continue
 
-        id_match = _NUFORC_LIVE_SIGHTING_ID_RE.search(link_html)
-        if id_match:
-            sighting_id = f"NUFORC-{id_match.group(1)}"
-        else:
-            digest = hashlib.sha1(
-                f"{occurred_ymd}|{city}|{state}|{summary}".encode("utf-8", "ignore")
-            ).hexdigest()[:12]
-            sighting_id = f"NUFORC-{digest}"
-
-        if summary and len(summary) > 280:
-            summary = summary[:277] + "..."
-        if not summary:
-            summary = "Sighting reported"
-
-        out.append({
-            "id": sighting_id,
-            "occurred": occurred_ymd,
-            "posted": _parse_date(reported_raw) or occurred_ymd,
-            "city": city,
-            "state": state,
-            "country": country,
-            "shape_raw": shape_raw,
-            "summary": summary,
-            "explanation": explanation,
-        })
-    return out
+def _nuforc_fetch_month_live(yyyymm: str, cookie_jar: Path) -> list[dict]:
+    """Pull one month of NUFORC sightings via live wpDataTables AJAX."""
+    if external_curl_fallback_enabled():
+        rows = _nuforc_fetch_month_live_curl(yyyymm, cookie_jar)
+        if rows:
+            return rows
+    return _nuforc_fetch_month_live_requests(yyyymm)
 
 
 def _build_recent_uap_sightings() -> list[dict]:
-    """Build the rolling 1-year UAP sightings layer from live NUFORC data.
+    """Build the rolling UAP sightings layer from live NUFORC data.
 
     Hits nuforc.org's public sub-index once per month in the window, drops
     anything outside the exact day-precision cutoff, dedupes by sighting id,
     geocodes city+state via the existing location cache, and returns rows
     keyed to the same schema the frontend already renders.
     """
-    cutoff_dt = datetime.utcnow() - timedelta(days=_NUFORC_RECENT_DAYS)
-    cutoff_str = cutoff_dt.strftime("%Y-%m-%d")
+    cutoff_str = _uap_cutoff_date_str()
     months = _nuforc_months_for_window(_NUFORC_RECENT_DAYS)
 
     try:
@@ -1383,10 +1505,21 @@ def _build_uap_sightings_from_hf_mirror() -> list[dict]:
     This is a resilience fallback for local/Windows runs where nuforc.org is
     Cloudflare-gated and the Mapbox token is not configured. It is not as fresh
     as the live NUFORC AJAX feed, but it keeps the layer visible and cached.
+
+    Date-cutoff guard: the kcimc/NUFORC HF dataset is a static snapshot whose
+    maintainer refreshes it sporadically. Without a cutoff, sorting by
+    occurred-desc and taking the top N rows returns whatever the mirror's
+    newest rows happen to be — which can be years old if the snapshot is
+    stale. We apply the same ``_NUFORC_RECENT_DAYS`` window the live path
+    uses (60 days). If the HF mirror has nothing inside the window we return
+    ``[]`` rather than silently serving 3-year-old "newest" rows.
     """
     from services.fetchers.nuforc_enrichment import _HF_CSV_URL, _parse_date
     from services.geocode_validate import coord_in_country
 
+    cutoff_dt = datetime.utcnow() - timedelta(days=_NUFORC_RECENT_DAYS)
+    cutoff_str = cutoff_dt.strftime("%Y-%m-%d")
+
     try:
         response = fetch_with_curl(_HF_CSV_URL, timeout=180, follow_redirects=True)
         if not response or response.status_code != 200:
@@ -1400,6 +1533,7 @@ def _build_uap_sightings_from_hf_mirror() -> list[dict]:
         return []
 
     candidates: list[dict] = []
+    stale_rows_dropped = 0
     try:
         reader = csv.DictReader(io.StringIO(response.text))
         for row in reader:
@@ -1410,6 +1544,9 @@ def _build_uap_sightings_from_hf_mirror() -> list[dict]:
             )
             if not occurred:
                 continue
+            if occurred < cutoff_str:
+                stale_rows_dropped += 1
+                continue
             raw_location = _normalize_uap_location(
                 row.get("Location", "")
                 or row.get("City", "")
@@ -1444,6 +1581,19 @@ def _build_uap_sightings_from_hf_mirror() -> list[dict]:
         logger.warning("UAP sightings: HF fallback parse failed: %s", e)
         return []
 
+    if not candidates:
+        # HF mirror returned rows, but none inside the rolling window. This is
+        # the smoking gun for "the public HF dataset hasn't been refreshed in
+        # years" — log loudly so the operator sees it instead of guessing.
+        logger.error(
+            "UAP sightings: HF fallback yielded 0 rows within last %d days "
+            "(dropped %d stale rows). HF mirror is likely stale; the layer "
+            "will be empty until the live NUFORC path recovers.",
+            _NUFORC_RECENT_DAYS,
+            stale_rows_dropped,
+        )
+        return []
+
     candidates.sort(key=lambda row: (row["occurred"], row["posted"], row["id"]), reverse=True)
     candidates = candidates[:_NUFORC_HF_FALLBACK_LIMIT]
 
@@ -1502,11 +1652,12 @@ def _build_uap_sightings_from_hf_mirror() -> list[dict]:
 
 @with_retry(max_retries=1, base_delay=5)
 def fetch_uap_sightings(*, force_refresh: bool = False):
-    """Fetch last-year UAP sightings from NUFORC.
+    """Fetch rolling-window UAP sightings from live NUFORC.
 
-    Startup reads the cached daily snapshot when it is still fresh. The daily
-    scheduler forces a rebuild so this layer updates once per day instead of
-    churning continuously.
+    Startup reads the cached snapshot when still within NUFORC_CACHE_TTL_HOURS
+    (default 168h / one week). The weekly scheduler forces a rebuild so every
+    install refreshes the same ~60-day layer without daily load on nuforc.org.
+    Operators can also POST /api/refresh (admin) to pull immediately.
     """
     from services.fetchers._store import is_any_active
 
@@ -1515,13 +1666,32 @@ def fetch_uap_sightings(*, force_refresh: bool = False):
 
     sightings = _load_nuforc_sightings_cache(force_refresh=force_refresh)
     if sightings is None:
+        live_error: Exception | None = None
         try:
             sightings = _build_recent_uap_sightings()
         except Exception as e:
+            live_error = e
             logger.warning("UAP sightings: live NUFORC rebuild failed, using fallback: %s", e)
             sightings = _build_uap_sightings_from_hf_mirror()
         if sightings:
             _save_nuforc_sightings_cache(sightings)
+        elif live_error is not None:
+            # Both paths failed: live raised AND HF fallback returned empty
+            # (either the HF mirror is stale beyond the cutoff or the network
+            # is gone entirely). The previous code silently set the layer to
+            # ``[]`` and kept marking it fresh; that masked the failure for
+            # days. Surface it via assert_canary so the health registry shows
+            # the layer as broken instead of "fresh and empty".
+            from services.slo import assert_canary
+            assert_canary("uap_sightings", 0)
+            logger.error(
+                "UAP sightings: both live NUFORC and HF fallback produced 0 "
+                "rows; layer is unavailable. Live error: %s",
+                live_error,
+            )
+
+    if sightings:
+        sightings = _filter_uap_sightings_recent(sightings)
 
     with _data_lock:
         latest_data["uap_sightings"] = sightings or []
@@ -1529,6 +1699,7 @@ def fetch_uap_sightings(*, force_refresh: bool = False):
         _mark_fresh("uap_sightings")
     return
 
+    # Unreachable legacy Mapbox tilequery path (kept for reference).
     cutoff = datetime.utcnow() - timedelta(days=_NUFORC_RECENT_DAYS)
 
     # Query the grid concurrently (up to 8 threads)

backend/services/fetchers/flight_observations.py

@@ -0,0 +1,148 @@
+"""Per-aircraft observation tracking for cumulative fuel/CO2 estimates.
+
+Background
+----------
+The pre-existing emissions enrichment attached a *rate* to each flight
+(GPH and kg/hr) based on aircraft model. Users — reasonably — wanted the
+running total: how much fuel HAS this plane burned since we started
+seeing it? Multiplying the rate by elapsed observation time gets us
+there, but it requires somewhere to remember "when did this icao24
+first appear on our radar?"
+
+Why this lives outside ``flight_trails``
+----------------------------------------
+``flight_trails`` is sized and pruned aggressively for map rendering
+(5-minute TTL for untracked aircraft, 200 trail points max). That's
+wrong for cumulative burn: if a plane has been airborne 2 hours but
+its trail was pruned 30 min in, the "first trail point" timestamp is
+30 min ago, not 2h ago. Worse, when the trail expires and re-creates,
+the cumulative counter would reset mid-flight.
+
+This module tracks observation lifecycle separately:
+
+* When a hex is first observed: start a new flight session.
+* While observed regularly (gap < ``REOPEN_GAP_S``): keep accumulating.
+* When unseen for longer than ``REOPEN_GAP_S``: treat next sighting as
+  a new session (the plane landed and took off again, or it's a
+  different leg). Reset ``first_seen_at``.
+* Stale sessions are pruned every ``PRUNE_INTERVAL_S`` so memory stays
+  bounded.
+
+The user explicitly asked for this counting semantic: "as soon as a
+plane appears there should be a counter that keeps a running count of
+the fuel being burned... If there is no estimate take off time then it
+can just be from the time the server starts to keep a log of whats in
+the air."
+"""
+
+from __future__ import annotations
+
+import threading
+import time
+
+
+# Gap between sightings that resets the session. ADS-B refreshes the
+# whole aircraft list every minute or two, so anything over a few
+# minutes means the plane left our coverage window (landed, transit
+# through dead zone, etc). 15 minutes is conservative.
+REOPEN_GAP_S = 15 * 60
+
+# Don't accumulate runaway memory: drop entries unseen for an hour.
+PRUNE_AFTER_S = 60 * 60
+
+# Cap on accumulated airtime per session so a single bug elsewhere
+# (e.g. ts clock skew) can't produce comically large numbers.
+MAX_SESSION_SECONDS = 24 * 3600  # 24h — longest realistic civilian leg
+
+
+_observations: dict[str, dict[str, float]] = {}
+_lock = threading.Lock()
+_last_prune_at = 0.0
+
+
+def record_observation(icao_hex: str, *, now: float | None = None) -> int:
+    """Record a sighting of ``icao_hex`` and return airtime so far (seconds).
+
+    Returns 0 for the first-ever sighting (no elapsed time yet) or when
+    ``icao_hex`` is falsy. The caller can multiply the returned seconds
+    by ``rate_per_hour / 3600`` to get cumulative consumption.
+    """
+    if not icao_hex:
+        return 0
+    key = str(icao_hex).strip().lower()
+    if not key:
+        return 0
+    current = float(now if now is not None else time.time())
+
+    with _lock:
+        entry = _observations.get(key)
+        if entry is None:
+            _observations[key] = {"first_seen_at": current, "last_seen_at": current}
+            return 0
+        # Use explicit ``is None`` checks instead of ``or`` short-circuit:
+        # ``0.0`` is a legitimate timestamp value (e.g. test fixtures
+        # seeding a far-past first_seen_at to exercise the clamp) but
+        # ``0.0 or fallback`` collapses to ``fallback`` because 0.0 is
+        # falsy. Bit me on my own test — leaving the safer form here.
+        last_raw = entry.get("last_seen_at")
+        last_seen = float(last_raw) if last_raw is not None else current
+        gap = current - last_seen
+        if gap > REOPEN_GAP_S:
+            # Treat as a new flight session — the plane landed/disappeared
+            # long enough that the prior cumulative count is no longer
+            # the same flight.
+            _observations[key] = {"first_seen_at": current, "last_seen_at": current}
+            return 0
+        first_raw = entry.get("first_seen_at")
+        first = float(first_raw) if first_raw is not None else current
+        # Clamp absurd values from clock skew or bad input.
+        elapsed = max(0, min(int(current - first), MAX_SESSION_SECONDS))
+        entry["last_seen_at"] = current
+        return elapsed
+
+
+def prune(*, now: float | None = None) -> int:
+    """Drop entries we haven't seen in ``PRUNE_AFTER_S`` seconds.
+
+    Returns number of entries dropped. Safe to call from a scheduler tick;
+    cheap (single dict scan) so cadence doesn't matter much.
+    """
+    current = float(now if now is not None else time.time())
+    dropped = 0
+    with _lock:
+        stale_keys = []
+        for k, v in _observations.items():
+            last_raw = v.get("last_seen_at")
+            last = float(last_raw) if last_raw is not None else 0.0
+            if current - last > PRUNE_AFTER_S:
+                stale_keys.append(k)
+        for k in stale_keys:
+            del _observations[k]
+            dropped += 1
+    return dropped
+
+
+def get_session_seconds(icao_hex: str, *, now: float | None = None) -> int:
+    """Read-only accessor: airtime for a known icao without bumping last-seen.
+
+    Used by tests and external consumers (e.g. when rendering a snapshot
+    of all in-flight aircraft, you want the current value, not to update
+    last_seen_at as a side effect).
+    """
+    if not icao_hex:
+        return 0
+    key = str(icao_hex).strip().lower()
+    with _lock:
+        entry = _observations.get(key)
+        if entry is None:
+            return 0
+        current = float(now if now is not None else time.time())
+        first_raw = entry.get("first_seen_at")
+        first = float(first_raw) if first_raw is not None else current
+        return max(0, min(int(current - first), MAX_SESSION_SECONDS))
+
+
+def _reset_for_tests() -> None:
+    """Drop all observations. Test helper only."""
+    with _lock:
+        _observations.clear()

backend/services/fetchers/flights.py

@@ -17,6 +17,7 @@ from services.network_utils import fetch_with_curl
 from services.fetchers._store import latest_data, _data_lock, _mark_fresh
 from services.fetchers.plane_alert import enrich_with_plane_alert, enrich_with_tracked_names
 from services.fetchers.emissions import get_emissions_info
+from services.fetchers.flight_observations import record_observation as _record_flight_observation
 from services.fetchers.retry import with_retry
 from services.fetchers.route_database import lookup_route
 from services.fetchers.aircraft_database import lookup_aircraft_type
@@ -29,6 +30,88 @@ _RE_AIRLINE_CODE_1 = re.compile(r"^([A-Z]{3})\d")
 _RE_AIRLINE_CODE_2 = re.compile(r"^([A-Z]{3})[A-Z\d]")
 
 
+def detect_gps_jamming_zones(
+    raw_flights: list[dict],
+    *,
+    min_aircraft: int | None = None,
+    min_ratio: float | None = None,
+    nacp_threshold: int | None = None,
+) -> list[dict]:
+    """Detect GPS interference zones from a snapshot of raw ADS-B aircraft.
+
+    Methodology mirrors GPSJam.org / Flightradar24: bin aircraft into 1°x1°
+    grid cells, flag cells where the fraction of aircraft reporting degraded
+    NACp clears a threshold.
+
+    Inputs
+    ------
+    raw_flights:
+        Iterable of dicts. Each item is expected to carry ``lat``, ``lng``
+        (or ``lon``), and ``nac_p``. Records missing position OR missing
+        ``nac_p`` entirely (typical for OpenSky-sourced flights) are
+        skipped — absence-of-data isn't evidence of anything.
+
+    nac_p == 0 IS counted as degraded. Pre-fix code skipped it on the theory
+    that "0 = old transponder, never computed accuracy." That's only half
+    right: modern Mode-S Enhanced Surveillance transponders also fall back
+    to nac_p=0 when they lose GPS lock entirely — which is exactly the
+    jamming signature we're trying to detect. Filtering 0 out was discarding
+    the strongest evidence.
+
+    Denoising:
+        1. Require ``min_aircraft`` per grid cell for statistical validity.
+        2. Subtract 1 from degraded count per cell (GPSJam's technique) so
+           a single quirky transponder can't flag an entire zone.
+        3. Require ratio ``adjusted_degraded / total > min_ratio``.
+
+    All thresholds default to the module-level constants but can be
+    overridden for testing.
+    """
+    min_aircraft = GPS_JAMMING_MIN_AIRCRAFT if min_aircraft is None else int(min_aircraft)
+    min_ratio = GPS_JAMMING_MIN_RATIO if min_ratio is None else float(min_ratio)
+    nacp_threshold = (
+        GPS_JAMMING_NACP_THRESHOLD if nacp_threshold is None else int(nacp_threshold)
+    )
+
+    jamming_grid: dict[str, dict[str, int]] = {}
+    for rf in raw_flights or []:
+        rlat = rf.get("lat")
+        rlng = rf.get("lng") if rf.get("lng") is not None else rf.get("lon")
+        if rlat is None or rlng is None:
+            continue
+        nacp = rf.get("nac_p")
+        if nacp is None:
+            continue
+        grid_key = f"{int(rlat)},{int(rlng)}"
+        cell = jamming_grid.setdefault(grid_key, {"degraded": 0, "total": 0})
+        cell["total"] += 1
+        if nacp < nacp_threshold:
+            cell["degraded"] += 1
+
+    jamming_zones: list[dict] = []
+    for gk, counts in jamming_grid.items():
+        if counts["total"] < min_aircraft:
+            continue
+        adjusted_degraded = max(counts["degraded"] - 1, 0)
+        if adjusted_degraded == 0:
+            continue
+        ratio = adjusted_degraded / counts["total"]
+        if ratio > min_ratio:
+            lat_i, lng_i = gk.split(",")
+            severity = "low" if ratio < 0.5 else "medium" if ratio < 0.75 else "high"
+            jamming_zones.append(
+                {
+                    "lat": int(lat_i) + 0.5,
+                    "lng": int(lng_i) + 0.5,
+                    "severity": severity,
+                    "ratio": round(ratio, 2),
+                    "degraded": counts["degraded"],
+                    "total": counts["total"],
+                }
+            )
+    return jamming_zones
+
+
 # ---------------------------------------------------------------------------
 # OpenSky Network API Client (OAuth2)
 # ---------------------------------------------------------------------------
@@ -459,6 +542,18 @@ def _classify_and_publish(all_adsb_flights):
 
             ac_category = "heli" if model_upper in _HELI_TYPES_BACKEND else "plane"
 
+            # Source attribution: prefer the explicit ``source`` tag stamped
+            # at fetch time (adsb.lol, OpenSky). If absent, fall back to the
+            # legacy ``supplemental_source`` (airplanes.live, adsb.fi) so
+            # supplementals are still attributed without changing their
+            # tagger. Final fallback "adsb.lol" preserves prior behavior for
+            # any caller that synthesizes records without going through one
+            # of our fetchers (e.g. tests).
+            source = (
+                f.get("source")
+                or f.get("supplemental_source")
+                or "adsb.lol"
+            )
             flights.append(
                 {
                     "callsign": flight_str,
@@ -480,6 +575,7 @@ def _classify_and_publish(all_adsb_flights):
                     "airline_code": airline_code,
                     "aircraft_category": ac_category,
                     "nac_p": f.get("nac_p"),
+                    "source": source,
                 }
             )
         except (ValueError, TypeError, KeyError, AttributeError) as loop_e:
@@ -506,6 +602,22 @@ def _classify_and_publish(all_adsb_flights):
         if model:
             emi = get_emissions_info(model)
             if emi:
+                # Cumulative fuel/CO2: multiply the per-hour rate by how
+                # long we've been observing this airframe. Users want to
+                # see the *amount* burned, not just the rate. If we've
+                # never seen this hex before, observed_seconds is 0 and
+                # the cumulative values are 0 until the next refresh —
+                # the rate is still useful info on its own.
+                observed_seconds = _record_flight_observation(
+                    f.get("icao24") or ""
+                )
+                elapsed_h = observed_seconds / 3600.0
+                emi = {
+                    **emi,
+                    "observed_seconds": observed_seconds,
+                    "fuel_gallons_burned": round(emi["fuel_gph"] * elapsed_h, 1),
+                    "co2_kg_emitted": round(emi["co2_kg_per_hour"] * elapsed_h, 1),
+                }
                 f["emissions"] = emi
 
         callsign = f.get("callsign", "").strip().upper()
@@ -724,56 +836,8 @@ def _classify_and_publish(all_adsb_flights):
         latest_data["military_flights"] = military_snapshot
 
     # --- GPS Jamming Detection ---
-    # Uses NACp (Navigation Accuracy Category – Position) from ADS-B to infer
-    # GPS interference zones, similar to GPSJam.org / Flightradar24.
-    # NACp < 8 = position accuracy worse than the FAA-mandated 0.05 NM.
-    #
-    # Denoising (to suppress false positives from old GA transponders):
-    # 1. Skip nac_p == 0 ("unknown accuracy") — old transponders that never
-    #    computed accuracy, NOT evidence of jamming.  Real jamming shows 1-7.
-    # 2. Require minimum aircraft per grid cell for statistical validity.
-    # 3. Subtract 1 from degraded count per cell (GPSJam's technique) so a
-    #    single quirky transponder can't flag an entire zone.
-    # 4. Require the adjusted ratio to exceed the threshold.
     try:
-        jamming_grid = {}
-        raw_flights = raw_flights_snapshot
-        for rf in raw_flights:
-            rlat = rf.get("lat")
-            rlng = rf.get("lng") or rf.get("lon")
-            if rlat is None or rlng is None:
-                continue
-            nacp = rf.get("nac_p")
-            if nacp is None or nacp == 0:
-                continue
-            grid_key = f"{int(rlat)},{int(rlng)}"
-            if grid_key not in jamming_grid:
-                jamming_grid[grid_key] = {"degraded": 0, "total": 0}
-            jamming_grid[grid_key]["total"] += 1
-            if nacp < GPS_JAMMING_NACP_THRESHOLD:
-                jamming_grid[grid_key]["degraded"] += 1
-
-        jamming_zones = []
-        for gk, counts in jamming_grid.items():
-            if counts["total"] < GPS_JAMMING_MIN_AIRCRAFT:
-                continue
-            adjusted_degraded = max(counts["degraded"] - 1, 0)
-            if adjusted_degraded == 0:
-                continue
-            ratio = adjusted_degraded / counts["total"]
-            if ratio > GPS_JAMMING_MIN_RATIO:
-                lat_i, lng_i = gk.split(",")
-                severity = "low" if ratio < 0.5 else "medium" if ratio < 0.75 else "high"
-                jamming_zones.append(
-                    {
-                        "lat": int(lat_i) + 0.5,
-                        "lng": int(lng_i) + 0.5,
-                        "severity": severity,
-                        "ratio": round(ratio, 2),
-                        "degraded": counts["degraded"],
-                        "total": counts["total"],
-                    }
-                )
+        jamming_zones = detect_gps_jamming_zones(raw_flights_snapshot)
         with _data_lock:
             latest_data["gps_jamming"] = jamming_zones
         if jamming_zones:
@@ -849,7 +913,15 @@ def _fetch_adsb_lol_regions():
             res = fetch_with_curl(url, timeout=10)
             if res.status_code == 200:
                 data = res.json()
-                return data.get("ac", [])
+                aircraft = data.get("ac", [])
+                # Stamp the source at the fetch site so attribution survives
+                # the OpenSky/supplemental dedupe-by-hex merge downstream.
+                # Previously adsb.lol records carried no marker while OpenSky
+                # records got ``is_opensky: True`` — which made flight tooltips
+                # look like everything came from OpenSky.
+                for a in aircraft:
+                    a["source"] = "adsb.lol"
+                return aircraft
         except (
             requests.RequestException,
             ConnectionError,
@@ -932,6 +1004,7 @@ def _enrich_with_opensky_and_supplemental(adsb_flights):
                                     "gs": (s[9] * 1.94384) if s[9] else 0,
                                     "t": "Unknown",
                                     "is_opensky": True,
+                                    "source": "OpenSky",
                                 }
                             )
                     elif os_res.status_code == 429:

backend/services/fetchers/geo.py

@@ -20,17 +20,9 @@ def _env_flag(name: str) -> str:
 
 
 def liveuamap_scraper_enabled() -> bool:
-    """Return whether the Playwright-based LiveUAMap scraper should run.
+    from services.liveuamap_settings import liveuamap_scraper_enabled as _enabled
 
-    It is useful enrichment, but it starts a browser/Node driver and must not be
-    allowed to destabilize Windows local startup.
-    """
-    setting = _env_flag("SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER")
-    if setting in {"1", "true", "yes", "on"}:
-        return True
-    if setting in {"0", "false", "no", "off"}:
-        return False
-    return os.name != "nt"
+    return _enabled()
 
 
 # ---------------------------------------------------------------------------
@@ -210,10 +202,17 @@ def update_liveuamap():
     if not is_any_active("global_incidents"):
         return
     if not liveuamap_scraper_enabled():
-        logger.info(
-            "Liveuamap scraper disabled for this runtime; set "
-            "SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=1 to opt in."
-        )
+        from services.liveuamap_settings import liveuamap_requires_ui_opt_in
+
+        if liveuamap_requires_ui_opt_in():
+            logger.info(
+                "Liveuamap scraper disabled: enable Global Incidents in the UI to "
+                "consent, or set SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=1."
+            )
+        else:
+            logger.info(
+                "Liveuamap scraper disabled; set SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER=1 to opt in."
+            )
         return
     logger.info("Running scheduled Liveuamap scraper...")
     try:
@@ -279,6 +278,16 @@ _FISHING_FETCH_INTERVAL_S = 3600  # once per hour — GFW data has ~5 day lag
 _last_fishing_fetch_ts: float = 0.0
 
 
+def _gfw_int_env(name: str, default: int, *, minimum: int = 1, maximum: int | None = None) -> int:
+    try:
+        value = int(os.environ.get(name, str(default)) or default)
+    except (TypeError, ValueError):
+        value = default
+    if maximum is not None:
+        value = min(maximum, value)
+    return max(minimum, value)
+
+
 @with_retry(max_retries=1, base_delay=5)
 def fetch_fishing_activity():
     """Fetch recent fishing events from Global Fishing Watch (~5 day lag)."""
@@ -301,10 +310,16 @@ def fetch_fishing_activity():
     try:
         import datetime as _dt
 
+        # GFW publishes with ~5 day lag; windows shorter than ~7 days often return 0 events.
+        lookback_days = _gfw_int_env("GFW_EVENTS_LOOKBACK_DAYS", 7, minimum=1, maximum=14)
+        max_pages = _gfw_int_env("GFW_EVENTS_MAX_PAGES", 10, minimum=1, maximum=100)
+        timeout_s = _gfw_int_env("GFW_EVENTS_TIMEOUT_S", 90, minimum=30, maximum=180)
         _end = _dt.date.today().isoformat()
-        _start = (_dt.date.today() - _dt.timedelta(days=7)).isoformat()
-        page_size = max(1, int(os.environ.get("GFW_EVENTS_PAGE_SIZE", "500") or "500"))
+        _start = (_dt.date.today() - _dt.timedelta(days=lookback_days)).isoformat()
+        page_size = _gfw_int_env("GFW_EVENTS_PAGE_SIZE", 500, minimum=1, maximum=1000)
         offset = 0
+        pages_fetched = 0
+        total_available: int | None = None
         seen_offsets: set[int] = set()
         seen_ids: set[str] = set()
         headers = {"Authorization": f"Bearer {token}"}
@@ -325,7 +340,7 @@ def fetch_fishing_activity():
                 }
             )
             url = f"https://gateway.api.globalfishingwatch.org/v3/events?{query}"
-            response = fetch_with_curl(url, timeout=30, headers=headers)
+            response = fetch_with_curl(url, timeout=timeout_s, headers=headers)
             if response.status_code != 200:
                 logger.warning(
                     "Fishing activity fetch failed at offset=%s: HTTP %s",
@@ -335,10 +350,16 @@ def fetch_fishing_activity():
                 break
 
             payload = response.json() or {}
+            if total_available is None:
+                try:
+                    total_available = int(payload.get("total")) if payload.get("total") is not None else None
+                except (TypeError, ValueError):
+                    total_available = None
             entries = payload.get("entries", [])
             if not entries:
                 break
 
+            pages_fetched += 1
             added_this_page = 0
             for e in entries:
                 pos = e.get("position", {})
@@ -373,6 +394,15 @@ def fetch_fishing_activity():
             if len(entries) < page_size:
                 break
 
+            if pages_fetched >= max_pages:
+                logger.info(
+                    "Fishing activity: capped at %s pages (%s events fetched; GFW total=%s)",
+                    max_pages,
+                    len(events),
+                    total_available if total_available is not None else "unknown",
+                )
+                break
+
             next_offset = payload.get("nextOffset")
             if next_offset is None:
                 next_offset = (payload.get("pagination") or {}).get("nextOffset")

backend/services/fetchers/infrastructure.py

@@ -235,11 +235,11 @@ _DC_GEOCODED_PATH = Path(__file__).parent.parent.parent / "data" / "datacenters_
 
 
 def fetch_datacenters():
-    """Load geocoded data centers (5K+ street-level precise locations)."""
-    from services.fetchers._store import is_any_active
+    """Load geocoded data centers (5K+ street-level precise locations).
 
-    if not is_any_active("datacenters"):
-        return
+    Always loads from disk; /api/live-data/slow gates the payload on the
+    datacenters layer toggle so enabling the layer can render immediately.
+    """
     dcs = []
     try:
         if not _DC_GEOCODED_PATH.exists():

backend/services/fetchers/malware.py

@@ -0,0 +1,107 @@
+"""Malware C2 / URLhaus feed (abuse.ch, Osiris port)."""
+from __future__ import annotations
+
+import logging
+from datetime import datetime, timezone
+from typing import Any
+
+from services.fetchers._store import _data_lock, _mark_fresh, is_any_active, latest_data
+from services.network_utils import fetch_with_curl
+
+logger = logging.getLogger(__name__)
+
+COUNTRY_CENTROIDS: dict[str, tuple[float, float]] = {
+    "AF": (65, 33), "AL": (20, 41), "DZ": (3, 28), "AR": (-64, -34), "AU": (134, -25),
+    "AT": (14, 47.5), "BE": (4, 50.8), "BR": (-51, -10), "CA": (-96, 62), "CN": (105, 35),
+    "DE": (10, 51), "FR": (2, 46), "GB": (-2, 54), "IN": (79, 22), "IR": (53, 32),
+    "IT": (12.5, 42.8), "JP": (138, 36), "KR": (128, 36), "MX": (-102, 23.5), "NL": (5.5, 52.5),
+    "PL": (19.5, 52), "RU": (100, 60), "SG": (103.8, 1.35), "TW": (121, 23.7), "UA": (32, 49),
+    "US": (-97, 38), "VN": (106, 16),
+}
+
+
+def fetch_malware_threats() -> list[dict[str, Any]]:
+    if not is_any_active("malware_c2"):
+        return latest_data.get("malware_threats") or []
+
+    threats: list[dict[str, Any]] = []
+    threat_id = 0
+
+    try:
+        resp = fetch_with_curl(
+            "https://feodotracker.abuse.ch/downloads/ipblocklist.json",
+            timeout=10,
+            headers={"User-Agent": "Shadowbroker/1.0", "Accept": "application/json"},
+        )
+        if resp.status_code == 200:
+            entries = resp.json()
+            if not isinstance(entries, list):
+                entries = []
+            for entry in entries[:200]:
+                cc = entry.get("country")
+                if not cc or cc not in COUNTRY_CENTROIDS:
+                    continue
+                lng, lat = COUNTRY_CENTROIDS[cc]
+                j_lng = ((threat_id * 173.7) % 200 - 100) / 100 * 4
+                j_lat = ((threat_id * 293.1) % 200 - 100) / 100 * 4
+                threats.append(
+                    {
+                        "id": f"feodo-{threat_id}",
+                        "lat": lat + j_lat,
+                        "lng": lng + j_lng,
+                        "ip": entry.get("ip_address") or "unknown",
+                        "port": entry.get("dst_port") or 0,
+                        "malware": entry.get("malware") or "unknown",
+                        "status": entry.get("status") or "active",
+                        "first_seen": entry.get("first_seen"),
+                        "last_online": entry.get("last_online"),
+                        "country": cc,
+                        "threat_type": "botnet_c2",
+                    }
+                )
+                threat_id += 1
+    except Exception as exc:
+        logger.warning("Feodo fetch failed: %s", exc)
+
+    try:
+        resp = fetch_with_curl(
+            "https://urlhaus-api.abuse.ch/v1/urls/recent/limit/100/",
+            timeout=8,
+        )
+        if resp.status_code == 200:
+            urls = (resp.json() or {}).get("urls") or []
+            for u in urls:
+                cc = u.get("country")
+                if not cc or cc not in COUNTRY_CENTROIDS:
+                    cc = next(iter(COUNTRY_CENTROIDS))
+                lng, lat = COUNTRY_CENTROIDS[cc]
+                j_lng = ((threat_id * 137.3) % 200 - 100) / 100 * 5
+                j_lat = ((threat_id * 211.7) % 200 - 100) / 100 * 5
+                threats.append(
+                    {
+                        "id": f"urlhaus-{threat_id}",
+                        "lat": lat + j_lat,
+                        "lng": lng + j_lng,
+                        "ip": u.get("host") or "unknown",
+                        "port": 0,
+                        "malware": ", ".join(u.get("tags") or []) or u.get("threat") or "malware",
+                        "status": u.get("url_status") or "online",
+                        "first_seen": u.get("dateadded"),
+                        "country": cc,
+                        "threat_type": "malware_url",
+                    }
+                )
+                threat_id += 1
+    except Exception as exc:
+        logger.debug("URLhaus supplement failed: %s", exc)
+
+    payload = {
+        "threats": threats,
+        "total": len(threats),
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+        "source": "abuse.ch Feodo Tracker + URLhaus",
+    }
+    with _data_lock:
+        latest_data["malware_threats"] = payload
+    _mark_fresh("malware_threats")
+    return threats

backend/services/fetchers/meshtastic_map.py

@@ -188,8 +188,8 @@ def fetch_meshtastic_nodes():
         callsign = ""
 
     send_callsign_header = str(
-        _os.environ.get("MESHTASTIC_SEND_CALLSIGN_HEADER", "true")
-    ).strip().lower() not in {"0", "false", "no", "off", ""}
+        _os.environ.get("MESHTASTIC_SEND_CALLSIGN_HEADER", "false")
+    ).strip().lower() in {"1", "true", "yes", "on"}
 
     # Round 7a: outbound_user_agent already includes the per-install handle.
     # The optional Meshtastic callsign is appended as additional context so

backend/services/fetchers/military.py

@@ -7,6 +7,7 @@ import requests
 from services.network_utils import fetch_with_curl
 from services.fetchers._store import latest_data, _data_lock, _mark_fresh
 from services.fetchers.emissions import get_emissions_info
+from services.fetchers.flight_observations import record_observation as _record_flight_observation
 from services.fetchers.plane_alert import enrich_with_plane_alert
 
 logger = logging.getLogger("services.data_fetcher")
@@ -171,6 +172,7 @@ def fetch_military_flights():
                 h = a.get("hex", "").lower()
                 if h and h not in seen_hex:
                     seen_hex.add(h)
+                    a["source"] = "adsb.lol"
                     all_mil_ac.append(a)
     except Exception as e:
         logger.warning(f"adsb.lol mil fetch failed: {e}")
@@ -182,6 +184,7 @@ def fetch_military_flights():
                 h = a.get("hex", "").lower()
                 if h and h not in seen_hex:
                     seen_hex.add(h)
+                    a["source"] = "airplanes.live"
                     all_mil_ac.append(a)
             logger.info(f"airplanes.live mil: +{len(resp2.json().get('ac', []))} raw, {len(all_mil_ac)} total unique")
     except Exception as e:
@@ -234,6 +237,7 @@ def fetch_military_flights():
                             "registration": f.get("r", "N/A"),
                             "icao24": icao_hex,
                             "squawk": f.get("squawk", ""),
+                            "source": f.get("source") or "adsb.lol",
                         })
                         continue
 
@@ -258,7 +262,8 @@ def fetch_military_flights():
                         "model": f.get("t", "Unknown"),
                         "icao24": icao_hex,
                         "speed_knots": speed_knots,
-                        "squawk": f.get("squawk", "")
+                        "squawk": f.get("squawk", ""),
+                        "source": f.get("source") or "adsb.lol",
                     })
                 except Exception as loop_e:
                     logger.error(f"Mil flight interpolation error: {loop_e}")
@@ -296,6 +301,18 @@ def fetch_military_flights():
         if model:
             emissions = get_emissions_info(model)
             if emissions:
+                # Cumulative fuel/CO2 since first observation — mirrors
+                # the civilian path in flights._classify_and_publish.
+                observed_seconds = _record_flight_observation(
+                    mf.get("icao24") or ""
+                )
+                elapsed_h = observed_seconds / 3600.0
+                emissions = {
+                    **emissions,
+                    "observed_seconds": observed_seconds,
+                    "fuel_gallons_burned": round(emissions["fuel_gph"] * elapsed_h, 1),
+                    "co2_kg_emitted": round(emissions["co2_kg_per_hour"] * elapsed_h, 1),
+                }
                 mf["emissions"] = emissions
         if mf.get("alert_category"):
             mf["type"] = "tracked_flight"

backend/services/fetchers/news.py

@@ -158,21 +158,26 @@ _KEYWORD_COORDS = {
 _SORTED_KEYWORDS = sorted(_KEYWORD_COORDS.items(), key=lambda x: len(x[0]), reverse=True)
 
 
+def resolve_coords_match(text: str) -> tuple[tuple[float, float], str] | None:
+    """Return ((lat, lng), matched_keyword) for the most specific keyword hit."""
+    padded_text = f" {text} "
+    for kw, coords in _SORTED_KEYWORDS:
+        if kw.startswith(" ") or kw.endswith(" "):
+            if kw in padded_text:
+                return coords, kw
+        elif re.search(r"\b" + re.escape(kw) + r"\b", text):
+            return coords, kw
+    return None
+
+
 def _resolve_coords(text: str) -> tuple[float, float] | None:
     """Return (lat, lng) for the most specific keyword match, or None.
 
     Longer keywords are tried first. Space-padded keywords (" us ", " uk ")
     use substring matching on padded text; all others use word-boundary regex.
     """
-    padded_text = f" {text} "
-    for kw, coords in _SORTED_KEYWORDS:
-        if kw.startswith(" ") or kw.endswith(" "):
-            if kw in padded_text:
-                return coords
-        else:
-            if re.search(r'\b' + re.escape(kw) + r'\b', text):
-                return coords
-    return None
+    match = resolve_coords_match(text)
+    return match[0] if match else None
 
 
 @with_retry(max_retries=1, base_delay=2)

backend/services/fetchers/prediction_markets.py

@@ -9,6 +9,7 @@ import json
 import logging
 import math
 import os
+import random
 import threading
 import time
 from urllib.parse import urlencode
@@ -21,23 +22,34 @@ _prev_probabilities: dict[str, float] = {}
 _market_cache = TTLCache(maxsize=1, ttl=300)
 _POLYMARKET_PAGE_DELAY_S = float(os.environ.get("MESH_POLYMARKET_PAGE_DELAY_S", "0.02"))
 _KALSHI_PAGE_DELAY_S = float(os.environ.get("MESH_KALSHI_PAGE_DELAY_S", "0.08"))
+_POLYMARKET_PAGE_DELAY_JITTER_S = float(os.environ.get("MESH_POLYMARKET_PAGE_DELAY_JITTER_S", "0.08"))
+_KALSHI_PAGE_DELAY_JITTER_S = float(os.environ.get("MESH_KALSHI_PAGE_DELAY_JITTER_S", "0.2"))
+# Random delay before each full Polymarket+Kalshi cycle (decorrelates from other slow-tier jobs).
+_PRE_FETCH_JITTER_S = float(os.environ.get("PREDICTION_MARKETS_PRE_FETCH_JITTER_S", "90"))
+# Random pause between finishing Polymarket pagination and starting Kalshi.
+_PROVIDER_GAP_JITTER_S = float(os.environ.get("PREDICTION_MARKETS_PROVIDER_GAP_JITTER_S", "45"))
 _provider_pace_lock = threading.Lock()
 _provider_last_request_at: dict[str, float] = {}
 
 
 def prediction_markets_fetch_enabled() -> bool:
-    """Return True only when the operator explicitly opts into Polymarket/Kalshi pulls."""
-    return str(os.environ.get("PREDICTION_MARKETS_ENABLED", "")).strip().lower() in {
-        "1",
-        "true",
-        "yes",
-        "on",
-    }
+    """Return True when UI opt-in or PREDICTION_MARKETS_ENABLED enables pulls."""
+    from services.prediction_markets_settings import prediction_markets_fetch_enabled as _enabled
+
+    return _enabled()
 
 
 def _pace_provider(provider: str, min_interval_s: float) -> None:
     if min_interval_s <= 0:
         return
+    jitter_s = (
+        _POLYMARKET_PAGE_DELAY_JITTER_S
+        if provider == "polymarket"
+        else _KALSHI_PAGE_DELAY_JITTER_S
+        if provider == "kalshi"
+        else 0.0
+    )
+    min_interval_s += random.uniform(0.0, jitter_s) if jitter_s > 0 else 0.0
     with _provider_pace_lock:
         now = time.monotonic()
         wait_s = min_interval_s - (now - _provider_last_request_at.get(provider, 0.0))
@@ -47,6 +59,24 @@ def _pace_provider(provider: str, min_interval_s: float) -> None:
         _provider_last_request_at[provider] = now
 
 
+def _apply_pre_fetch_jitter() -> None:
+    if _PRE_FETCH_JITTER_S <= 0:
+        return
+    delay = random.uniform(0.0, _PRE_FETCH_JITTER_S)
+    if delay >= 1.0:
+        logger.debug("Prediction markets: pre-fetch jitter %.1fs", delay)
+    time.sleep(delay)
+
+
+def _apply_provider_gap_jitter() -> None:
+    if _PROVIDER_GAP_JITTER_S <= 0:
+        return
+    delay = random.uniform(0.0, _PROVIDER_GAP_JITTER_S)
+    if delay >= 1.0:
+        logger.debug("Prediction markets: provider gap jitter %.1fs", delay)
+    time.sleep(delay)
+
+
 def _finite_or_none(value):
     try:
         n = float(value)
@@ -750,7 +780,9 @@ def _merge_markets(poly_events: list[dict], kalshi_events: list[dict]) -> list[d
 @cached(_market_cache)
 def fetch_prediction_markets_raw() -> list[dict]:
     """Fetch and merge prediction markets from both sources. Cached 5 min."""
+    _apply_pre_fetch_jitter()
     poly = _fetch_polymarket_events()
+    _apply_provider_gap_jitter()
     kalshi = _fetch_kalshi_events()
     merged = _merge_markets(poly, kalshi)
     logger.info(

backend/services/fetchers/retry.py

@@ -11,15 +11,20 @@ import random
 import logging
 import functools
 import requests
+from requests.exceptions import ChunkedEncodingError, ConnectionError as RequestsConnectionError
+from requests.exceptions import Timeout as RequestsTimeout
 
 logger = logging.getLogger(__name__)
 
-# Only retry on transient network/OS errors — not on parse errors, key errors, etc.
+# Only retry on transient network/OS errors — not parse/key errors or HTTP 4xx/5xx.
+# requests.HTTPError (from raise_for_status) is intentionally excluded.
 TRANSIENT_ERRORS = (
     TimeoutError,
     ConnectionError,
     OSError,
-    requests.RequestException,
+    RequestsConnectionError,
+    RequestsTimeout,
+    ChunkedEncodingError,
 )
 
 
@@ -43,6 +48,8 @@ def with_retry(max_retries: int = 3, base_delay: float = 2.0, max_delay: float =
             for attempt in range(1 + max_retries):
                 try:
                     return func(*args, **kwargs)
+                except requests.HTTPError:
+                    raise
                 except TRANSIENT_ERRORS as exc:
                     last_exc = exc
                     if attempt < max_retries:

backend/services/fetchers/road_corridor_sat.py

@@ -0,0 +1,84 @@
+"""Scheduled Sentinel-2 road corridor freight trend fetcher (opt-in, slow tier)."""
+from __future__ import annotations
+
+import logging
+import os
+from datetime import datetime, timezone
+
+from services.fetchers._store import _data_lock, _mark_fresh, is_any_active, latest_data
+
+logger = logging.getLogger(__name__)
+
+_REFRESH_HOURS = float(os.environ.get("ROAD_CORRIDOR_REFRESH_HOURS", "24"))
+
+
+def _hours_since(iso_ts: str) -> float | None:
+    try:
+        dt = datetime.fromisoformat(iso_ts.replace("Z", "+00:00"))
+        if dt.tzinfo is None:
+            dt = dt.replace(tzinfo=timezone.utc)
+        return (datetime.now(timezone.utc) - dt).total_seconds() / 3600.0
+    except ValueError:
+        return None
+
+
+def _feature_ready() -> bool:
+    from services.road_corridor_sat.config import optional_deps_available, road_corridor_sat_enabled
+    from services.road_corridor_sat.credentials import sentinel_credentials_configured
+
+    if not road_corridor_sat_enabled():
+        return False
+    if not optional_deps_available():
+        logger.debug("road_corridor_trends skipped — optional deps not installed")
+        return False
+    if not sentinel_credentials_configured():
+        logger.debug("road_corridor_trends skipped — Sentinel credentials missing")
+        return False
+    return True
+
+
+def refresh_road_corridor_store() -> None:
+    from services.road_corridor_sat.storage import build_trends_payload
+
+    payload = build_trends_payload()
+    with _data_lock:
+        latest_data["road_corridor_trends"] = payload
+    _mark_fresh("road_corridor_trends")
+
+
+def fetch_road_corridor_trends(force: bool = False) -> None:
+    """Refresh scheduled corridor presets (default: laredo_i35 every 24h)."""
+    if not is_any_active("road_corridor_trends"):
+        return
+    if not _feature_ready():
+        return
+
+    from services.road_corridor_sat.config import SCHEDULED_PRESET_IDS
+    from services.road_corridor_sat.pipeline import analyze_preset
+    from services.road_corridor_sat.presets import get_preset
+    from services.road_corridor_sat.storage import load_refresh_state
+
+    state = load_refresh_state()
+    for preset_id in SCHEDULED_PRESET_IDS:
+        preset = get_preset(preset_id)
+        if preset is None:
+            logger.warning("Unknown scheduled road corridor preset: %s", preset_id)
+            continue
+        last = state.get(preset_id)
+        if last and not force:
+            age_h = _hours_since(last)
+            if age_h is not None and age_h < _REFRESH_HOURS:
+                logger.info(
+                    "road_corridor %s fresh (%.1fh < %.1fh) — skipping",
+                    preset_id,
+                    age_h,
+                    _REFRESH_HOURS,
+                )
+                continue
+        try:
+            logger.info("road_corridor analysis starting for %s", preset_id)
+            analyze_preset(preset_id)
+        except Exception as exc:
+            logger.exception("road_corridor analysis failed for %s: %s", preset_id, exc)
+
+    refresh_road_corridor_store()

backend/services/fetchers/route_database.py

@@ -30,8 +30,6 @@ _AIRPORTS_URL = "https://vrs-standing-data.adsb.lol/airports.csv.gz"
 _REFRESH_INTERVAL_S = 5 * 24 * 3600
 _HTTP_TIMEOUT_S = 60
 
-from services.network_utils import DEFAULT_USER_AGENT as _USER_AGENT
-
 _lock = threading.RLock()
 _routes_by_callsign: dict[str, dict[str, Any]] = {}
 _airports_by_icao: dict[str, dict[str, Any]] = {}

backend/services/fetchers/telegram_osint.py

@@ -0,0 +1,381 @@
+"""Telegram OSINT — public channel web previews (t.me/s) with keyword geoparsing."""
+from __future__ import annotations
+
+import hashlib
+import logging
+import os
+import re
+from datetime import datetime, timezone
+from typing import Any
+
+from services.fetchers._store import _data_lock, _mark_fresh, is_any_active, latest_data
+from services.fetchers.news import resolve_coords_match
+from services.network_utils import fetch_with_curl, outbound_user_agent
+
+logger = logging.getLogger(__name__)
+
+_DEFAULT_CHANNELS = (
+    "osintdefender",
+    "insiderpaper",
+    "aljazeeraenglish",
+    "nexta_live",
+    "war_monitor",
+    "OSINTtechnical",
+    "Liveuamap",
+)
+
+_MESSAGE_BLOCK_RE = re.compile(
+    r'<div class="tgme_widget_message_wrap js-widget_message_wrap"[\s\S]*?</div>\s*</div>\s*</div>',
+    re.IGNORECASE,
+)
+_TEXT_RE = re.compile(
+    r'<div class="tgme_widget_message_text[^>]*>([\s\S]*?)</div>',
+    re.IGNORECASE,
+)
+_DATE_RE = re.compile(
+    r'<a class="tgme_widget_message_date" href="(https://t\.me/[^"]+)".*?<time datetime="([^"]+)"',
+    re.IGNORECASE,
+)
+_HAS_VIDEO_RE = re.compile(
+    r'tgme_widget_message_video|js-message_video|<video\s',
+    re.IGNORECASE,
+)
+_HAS_PHOTO_RE = re.compile(r'tgme_widget_message_photo_wrap', re.IGNORECASE)
+_VIDEO_SRC_RE = re.compile(r'<video[^>]+src="([^"]+)"', re.IGNORECASE)
+_BG_IMAGE_RE = re.compile(r"background-image:url\('([^']+)'\)", re.IGNORECASE)
+
+_TELEGRAM_MEDIA_HOST_SUFFIXES = (".telesco.pe", ".telegram-cdn.org")
+
+# Cyrillic / Arabic aliases for war-reporting channels (merged after English resolver).
+_EXTRA_PLACE_KEYWORDS: dict[str, tuple[float, float]] = {
+    "киев": (50.450, 30.523),
+    "київ": (50.450, 30.523),
+    "харьков": (49.993, 36.231),
+    "харків": (49.993, 36.231),
+    "одесса": (46.482, 30.724),
+    "одеса": (46.482, 30.724),
+    "донецк": (48.015, 37.803),
+    "донецьк": (48.015, 37.803),
+    "луганск": (48.574, 39.307),
+    "луганськ": (48.574, 39.307),
+    "москва": (55.755, 37.617),
+    "крым": (45.000, 34.000),
+    "крим": (45.000, 34.000),
+    "бахмут": (48.595, 38.000),
+    "запорожье": (47.838, 35.139),
+    "запоріжжя": (47.838, 35.139),
+    "غزة": (31.416, 34.333),
+    "دمشق": (33.513, 36.276),
+    "بيروت": (33.893, 35.501),
+    "tel aviv": (32.085, 34.781),
+    "תל אביב": (32.085, 34.781),
+}
+
+# Country-level news geocodes sit on national centroids that stack with threat alerts.
+# Telegram uses major metro anchors so pins land on a different map cell than news.
+_TELEGRAM_ANCHOR_OVERRIDES: dict[str, tuple[float, float]] = {
+    "israel": (32.085, 34.781),  # Tel Aviv (news uses central Israel ~Jerusalem corridor)
+    "middle east": (32.085, 34.781),
+    "china": (39.904, 116.407),  # Beijing (news uses country centroid)
+    "united states": (40.712, -74.006),  # New York (news uses Washington DC)
+    "usa": (40.712, -74.006),
+    "us": (40.712, -74.006),
+    "america": (40.712, -74.006),
+    "uk": (51.507, -0.127),  # London
+    "iran": (35.689, 51.389),  # Tehran
+    "russia": (55.755, 37.617),  # Moscow
+    "ukraine": (50.450, 30.523),  # Kyiv
+    "france": (48.856, 2.352),  # Paris
+    "germany": (52.520, 13.405),  # Berlin
+    "lebanon": (34.433, 35.844),  # Tripoli (news uses Beirut corridor)
+}
+
+_RISK_KEYWORDS = (
+    "war",
+    "missile",
+    "strike",
+    "attack",
+    "crisis",
+    "tension",
+    "military",
+    "conflict",
+    "defense",
+    "clash",
+    "nuclear",
+    "invasion",
+    "bomb",
+    "drone",
+    "weapon",
+    "sanctions",
+    "ceasefire",
+    "escalation",
+    "killed",
+    "destroyed",
+    "operation",
+    "casualty",
+    "frontline",
+    "threat",
+    "explosion",
+    "shelling",
+)
+
+
+def telegram_osint_enabled() -> bool:
+    return str(os.environ.get("TELEGRAM_OSINT_ENABLED", "true")).strip().lower() not in {
+        "0",
+        "false",
+        "no",
+        "off",
+        "",
+    }
+
+
+def _configured_channels() -> list[str]:
+    raw = str(os.environ.get("TELEGRAM_OSINT_CHANNELS", "")).strip()
+    if raw:
+        return [part.strip().lstrip("@") for part in raw.split(",") if part.strip()]
+    return list(_DEFAULT_CHANNELS)
+
+
+def telegram_media_host_allowed(hostname: str | None) -> bool:
+    host = str(hostname or "").strip().lower()
+    if not host:
+        return False
+    return any(host.endswith(suffix) for suffix in _TELEGRAM_MEDIA_HOST_SUFFIXES)
+
+
+def _extract_media(block: str, link: str) -> dict[str, Any]:
+    has_video = bool(_HAS_VIDEO_RE.search(block))
+    has_photo = bool(_HAS_PHOTO_RE.search(block))
+    media_type: str | None = None
+    media_url: str | None = None
+    if has_video:
+        media_type = "video"
+        video_match = _VIDEO_SRC_RE.search(block)
+        if video_match:
+            media_url = video_match.group(1).strip()
+    elif has_photo:
+        media_type = "photo"
+        photo_match = _BG_IMAGE_RE.search(block)
+        if photo_match:
+            media_url = photo_match.group(1).strip()
+
+    embed_url: str | None = None
+    if media_type and link:
+        embed_url = f"{link}?embed=1"
+
+    return {
+        "media_type": media_type,
+        "media_url": media_url,
+        "embed_url": embed_url,
+    }
+
+
+def _strip_html(text: str) -> str:
+    cleaned = re.sub(r"<br\s*/?>", "\n", text, flags=re.IGNORECASE)
+    cleaned = re.sub(r"<[^>]+>", "", cleaned)
+    return (
+        cleaned.replace("&quot;", '"')
+        .replace("&amp;", "&")
+        .replace("&lt;", "<")
+        .replace("&gt;", ">")
+        .strip()
+    )
+
+
+def _score_risk(text: str) -> int:
+    lower = text.lower()
+    score = 1
+    for kw in _RISK_KEYWORDS:
+        if kw in lower:
+            score += 2
+    return min(10, score)
+
+
+def _refresh_post_coords(post: dict[str, Any]) -> dict[str, Any]:
+    """Re-apply geoparsing so stored posts pick up anchor updates."""
+    text = "\n".join(
+        str(part).strip()
+        for part in (post.get("title"), post.get("description"))
+        if part and str(part).strip()
+    )
+    if not text:
+        return post
+    coords = _resolve_telegram_coords(text)
+    if not coords:
+        return post
+    updated = dict(post)
+    updated["coords"] = [coords[0], coords[1]]
+    return updated
+
+
+def _resolve_telegram_coords(text: str) -> tuple[float, float] | None:
+    lower = text.lower()
+    match = resolve_coords_match(lower)
+    if match:
+        _coords, keyword = match
+        anchor = _TELEGRAM_ANCHOR_OVERRIDES.get(keyword.strip().lower())
+        if anchor:
+            return anchor
+        return _coords
+    for keyword, coords in sorted(_EXTRA_PLACE_KEYWORDS.items(), key=lambda x: len(x[0]), reverse=True):
+        if keyword in lower:
+            return coords
+    return None
+
+
+def _post_link(post: dict[str, Any]) -> str:
+    return str(post.get("link") or "").strip()
+
+
+def _extract_new_channel_posts(
+    html: str,
+    channel: str,
+    known_links: set[str],
+    *,
+    bootstrap_limit: int = 12,
+) -> list[dict[str, Any]]:
+    """Return unseen posts from a channel page; stop once we hit a stored link."""
+    parsed = parse_telegram_channel_html(html, channel)
+    if not parsed:
+        return []
+    if not known_links:
+        return parsed[-bootstrap_limit:]
+
+    fresh: list[dict[str, Any]] = []
+    for post in reversed(parsed):
+        link = _post_link(post)
+        if not link:
+            continue
+        if link in known_links:
+            break
+        fresh.append(post)
+    fresh.reverse()
+    return fresh
+
+
+def _merge_telegram_posts(
+    existing: list[dict[str, Any]],
+    incoming: list[dict[str, Any]],
+    *,
+    max_posts: int = 120,
+) -> tuple[list[dict[str, Any]], int]:
+    known_links = {_post_link(post) for post in existing if _post_link(post)}
+    added = 0
+    for post in incoming:
+        link = _post_link(post)
+        if not link or link in known_links:
+            continue
+        known_links.add(link)
+        existing.append(post)
+        added += 1
+    existing.sort(key=lambda p: str(p.get("published") or ""), reverse=True)
+    return existing[:max_posts], added
+
+
+def parse_telegram_channel_html(html: str, channel: str) -> list[dict[str, Any]]:
+    """Parse public t.me/s channel preview HTML into post dicts."""
+    posts: list[dict[str, Any]] = []
+    for block in _MESSAGE_BLOCK_RE.findall(html or ""):
+        text_match = _TEXT_RE.search(block)
+        if not text_match:
+            continue
+        text = _strip_html(text_match.group(1))
+        if len(text) < 10:
+            continue
+
+        date_match = _DATE_RE.search(block)
+        link = date_match.group(1) if date_match else f"https://t.me/{channel}"
+        published = date_match.group(2) if date_match else datetime.now(timezone.utc).isoformat()
+        title = text.split("\n", 1)[0][:160]
+        risk_score = _score_risk(text)
+        coords = _resolve_telegram_coords(text)
+        post_id = hashlib.sha1(f"{link}|{published}".encode("utf-8")).hexdigest()[:16]
+
+        media = _extract_media(block, link)
+        posts.append(
+            {
+                "id": post_id,
+                "title": title,
+                "description": text[:1200],
+                "link": link,
+                "published": published,
+                "source": f"t.me/{channel}",
+                "channel": channel,
+                "risk_score": risk_score,
+                "coords": [coords[0], coords[1]] if coords else None,
+                **media,
+            }
+        )
+    return posts
+
+
+def fetch_telegram_osint() -> dict[str, Any]:
+    if not is_any_active("telegram_osint"):
+        return latest_data.get("telegram_osint") or {"posts": [], "total": 0, "timestamp": None}
+
+    if not telegram_osint_enabled():
+        with _data_lock:
+            latest_data["telegram_osint"] = {"posts": [], "total": 0, "timestamp": None, "disabled": True}
+        _mark_fresh("telegram_osint")
+        return latest_data["telegram_osint"]
+
+    headers = {
+        "User-Agent": (
+            f"Mozilla/5.0 (compatible; {outbound_user_agent('telegram-osint')}) "
+            "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
+        ),
+        "Accept": "text/html,application/xhtml+xml",
+    }
+
+    with _data_lock:
+        prior = latest_data.get("telegram_osint") or {}
+        existing_posts = list(prior.get("posts") or [])
+
+    known_links = {_post_link(post) for post in existing_posts if _post_link(post)}
+    incoming: list[dict[str, Any]] = []
+
+    for channel in _configured_channels():
+        url = f"https://t.me/s/{channel}"
+        try:
+            resp = fetch_with_curl(url, timeout=15, headers=headers)
+            if not resp or resp.status_code != 200:
+                logger.warning(
+                    "Telegram channel %s fetch failed: HTTP %s",
+                    channel,
+                    resp.status_code if resp else "no response",
+                )
+                continue
+            channel_new = _extract_new_channel_posts(resp.text, channel, known_links)
+            for post in channel_new:
+                link = _post_link(post)
+                if not link or link in known_links:
+                    continue
+                known_links.add(link)
+                incoming.append(post)
+        except Exception as exc:
+            logger.warning("Telegram channel %s parse failed: %s", channel, exc)
+
+    merged_posts, added = _merge_telegram_posts(existing_posts, incoming)
+    merged_posts = [_refresh_post_coords(post) for post in merged_posts]
+    geolocated = sum(1 for p in merged_posts if p.get("coords"))
+
+    payload = {
+        "posts": merged_posts,
+        "total": len(merged_posts),
+        "geolocated": geolocated,
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+        "channels": _configured_channels(),
+        "last_fetch_new": added,
+    }
+
+    with _data_lock:
+        latest_data["telegram_osint"] = payload
+    _mark_fresh("telegram_osint")
+    logger.info(
+        "Telegram OSINT: +%s new, %s retained (%s geolocated)",
+        added,
+        len(merged_posts),
+        geolocated,
+    )
+    return payload

backend/services/geopolitics.py

@@ -1,3 +1,4 @@
+import os
 import requests
 import logging
 import zipfile
@@ -20,6 +21,50 @@ logger = logging.getLogger(__name__)
 # Cache Frontline data for 30 minutes, it doesn't move that fast
 frontline_cache = TTLCache(maxsize=1, ttl=1800)
 
+_DEFAULT_DEEPSTATE_MIRROR_REPO = "cyterat/deepstate-map-data"
+
+
+def _deepstate_mirror_ref() -> tuple[str, str]:
+    """Return (github_repo_slug, git_ref) for the DeepState mirror.
+
+    When ``DEEPSTATE_MIRROR_COMMIT`` is set, ingest is pinned to that immutable
+    SHA instead of following the mutable ``main`` branch (#362).
+    """
+    repo = (os.environ.get("DEEPSTATE_MIRROR_REPO") or _DEFAULT_DEEPSTATE_MIRROR_REPO).strip()
+    if repo.count("/") != 1:
+        repo = _DEFAULT_DEEPSTATE_MIRROR_REPO
+    commit = (os.environ.get("DEEPSTATE_MIRROR_COMMIT") or "").strip()
+    ref = commit if commit else "main"
+    return repo, ref
+
+
+def _latest_deepstate_geo_path(tree_items: list) -> str | None:
+    geo_files = [
+        item["path"]
+        for item in tree_items
+        if isinstance(item, dict)
+        and str(item.get("path", "")).startswith("data/deepstatemap_data_")
+        and str(item.get("path", "")).endswith(".geojson")
+    ]
+    return sorted(geo_files)[-1] if geo_files else None
+
+
+def _annotate_deepstate_geojson(data: dict) -> dict:
+    name_map = {
+        0: "Russian-occupied areas",
+        1: "Russian advance",
+        2: "Liberated area",
+        3: "Russian-occupied areas",  # Crimea / LPR / DPR
+        4: "Directions of UA attacks",
+    }
+    if "features" in data:
+        for idx, feature in enumerate(data["features"]):
+            if "properties" not in feature or feature["properties"] is None:
+                feature["properties"] = {}
+            feature["properties"]["name"] = name_map.get(idx, "Russian-occupied areas")
+            feature["properties"]["zone_id"] = idx
+    return data
+
 
 @cached(frontline_cache)
 def fetch_ukraine_frontlines():
@@ -27,67 +72,34 @@ def fetch_ukraine_frontlines():
     Fetches the latest GeoJSON data representing the Ukraine frontline.
     We use the cyterat/deepstate-map-data github mirror since the public API is locked.
     """
+    repo, ref = _deepstate_mirror_ref()
     try:
-        logger.info("Fetching DeepStateMap from GitHub mirror...")
+        logger.info("Fetching DeepStateMap from GitHub mirror (%s @ %s)...", repo, ref)
 
-        # First, query the repo tree to find the latest file name
-        tree_url = (
-            "https://api.github.com/repos/cyterat/deepstate-map-data/git/trees/main?recursive=1"
-        )
+        tree_url = f"https://api.github.com/repos/{repo}/git/trees/{ref}?recursive=1"
         res_tree = requests.get(tree_url, timeout=10)
 
         if res_tree.status_code == 200:
-            tree_data = res_tree.json().get("tree", [])
-            # Filter for geojson files in data folder
-            geo_files = [
-                item["path"]
-                for item in tree_data
-                if item["path"].startswith("data/deepstatemap_data_")
-                and item["path"].endswith(".geojson")
-            ]
-
-            if geo_files:
-                # Get the alphabetically latest file (since it's named with YYYYMMDD)
-                latest_file = sorted(geo_files)[-1]
-
-                raw_url = f"https://raw.githubusercontent.com/cyterat/deepstate-map-data/main/{latest_file}"
-                logger.info(f"Downloading latest DeepStateMap: {raw_url}")
+            latest_file = _latest_deepstate_geo_path(res_tree.json().get("tree", []))
+            if latest_file:
+                raw_url = f"https://raw.githubusercontent.com/{repo}/{ref}/{latest_file}"
+                logger.info("Downloading DeepStateMap: %s", raw_url)
 
                 res_geo = requests.get(raw_url, timeout=20)
                 if res_geo.status_code == 200:
-                    data = res_geo.json()
-
-                    # The Cyterat GitHub mirror strips all properties and just provides a raw array of Feature polygons.
-                    # Based on DeepStateMap's frontend mapping, the array index corresponds to the zone type:
-                    # 0: Russian-occupied areas
-                    # 1: Russian advance
-                    # 2: Liberated area
-                    # 3: Uncontested/Crimea (often folded into occupied)
-                    name_map = {
-                        0: "Russian-occupied areas",
-                        1: "Russian advance",
-                        2: "Liberated area",
-                        3: "Russian-occupied areas",  # Crimea / LPR / DPR
-                        4: "Directions of UA attacks",
-                    }
-
-                    if "features" in data:
-                        for idx, feature in enumerate(data["features"]):
-                            if "properties" not in feature or feature["properties"] is None:
-                                feature["properties"] = {}
-
-                            feature["properties"]["name"] = name_map.get(
-                                idx, "Russian-occupied areas"
-                            )
-                            feature["properties"]["zone_id"] = idx
-
-                    return data
-                else:
-                    logger.error(
-                        f"Failed to fetch parsed Github Raw GeoJSON: {res_geo.status_code}"
-                    )
+                    return _annotate_deepstate_geojson(res_geo.json())
+                logger.error(
+                    "Failed to fetch parsed Github Raw GeoJSON: %s", res_geo.status_code
+                )
+            else:
+                logger.error("No deepstatemap_data_*.geojson files in mirror tree at %s", ref)
         else:
-            logger.error(f"Failed to fetch Github Tree for Deepstatemap: {res_tree.status_code}")
+            logger.error(
+                "Failed to fetch Github tree for Deepstatemap (%s @ %s): %s",
+                repo,
+                ref,
+                res_tree.status_code,
+            )
     except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
         logger.error(f"Error fetching DeepStateMap: {e}")
     return None

backend/services/infonet/privacy/function_keys/__init__.py

@@ -1,14 +1,20 @@
-"""Function Keys — anonymous citizenship proof.
+"""Function Keys — anonymous credential scaffolding.
 
 Source of truth: ``infonet-economy/IMPLEMENTATION_PLAN.md`` §4.4,
 ``infonet-economy/BRAINDUMP.md`` §11 item 9.
 
-A citizen should be able to prove "I am a UBI-eligible Infonet
-citizen" to a real-world operator (food bank, community service)
-**without revealing their Infonet identity**. The naive approach
-(scramble a public key, record each redemption on chain) leaks
-identity through metadata correlation (time, location, operator,
-frequency).
+A citizen should eventually be able to prove "I am a UBI-eligible
+Infonet citizen" to a real-world operator (food bank, community
+service) **without revealing their Infonet identity**. The current
+Python implementation wires the accounting, nullifier, receipt, and
+operator flows, but its HMAC challenge-response is a placeholder for
+integration tests. It is not a production anonymous or zero-knowledge
+citizenship proof until blind signatures or anonymous credentials are
+selected and wired.
+
+The naive approach (scramble a public key, record each redemption on
+chain) leaks identity through metadata correlation (time, location,
+operator, frequency).
 
 The full design has six pieces; five are implemented in pure Python
 here. The remaining piece — issuance via blind signatures or
@@ -27,7 +33,8 @@ Pieces:
    operator: tracked via ``NullifierTracker``.
 3. **Challenge-response** (`challenge_response.py`) — operator
    issues a fresh nonce, key-holder signs with the Function Key's
-   secret. Prevents screenshot attacks, key sharing, replay.
+   secret. This is HMAC placeholder plumbing for screenshot/replay
+   resistance, not the final anonymous credential proof.
 4. **Two-phase commit receipts** (`receipt.py`) — Phase 1
    verification receipt (operator-signed, day-level date NOT
    timestamp, no node_id). Phase 2 fulfillment receipt (citizen

backend/services/intel_feeds/country_risk.py

@@ -0,0 +1,94 @@
+"""Country risk index (static scores + USGS quake enrichment)."""
+from __future__ import annotations
+
+from datetime import datetime, timezone
+from typing import Any
+from zoneinfo import ZoneInfo
+
+from services.network_utils import fetch_with_curl
+
+RISK_FACTORS: dict[str, dict[str, Any]] = {
+    "UA": {"base": 85, "tags": ["active_conflict", "infrastructure_damage"]},
+    "RU": {"base": 72, "tags": ["sanctions", "military_mobilization"]},
+    "IL": {"base": 78, "tags": ["active_conflict", "regional_instability"]},
+    "PS": {"base": 90, "tags": ["active_conflict", "humanitarian_crisis"]},
+    "SY": {"base": 82, "tags": ["post_conflict", "infrastructure_damage"]},
+    "YE": {"base": 88, "tags": ["active_conflict", "humanitarian_crisis"]},
+    "MM": {"base": 76, "tags": ["civil_unrest", "military_junta"]},
+    "SD": {"base": 84, "tags": ["active_conflict", "humanitarian_crisis"]},
+    "AF": {"base": 80, "tags": ["post_conflict", "governance_collapse"]},
+    "KP": {"base": 70, "tags": ["nuclear_risk", "isolation"]},
+    "IR": {"base": 68, "tags": ["sanctions", "nuclear_program", "regional_proxy"]},
+    "CN": {"base": 35, "tags": ["strategic_competition", "taiwan_tensions"]},
+    "TW": {"base": 45, "tags": ["invasion_risk", "semiconductor_dependency"]},
+    "VE": {"base": 60, "tags": ["economic_collapse", "political_instability"]},
+    "HT": {"base": 85, "tags": ["gang_violence", "governance_collapse"]},
+    "LB": {"base": 65, "tags": ["economic_crisis", "political_deadlock"]},
+    "PK": {"base": 55, "tags": ["terrorism", "political_instability"]},
+    "SO": {"base": 82, "tags": ["terrorism", "state_fragility"]},
+    "LY": {"base": 72, "tags": ["divided_government", "militia_control"]},
+    "ET": {"base": 62, "tags": ["ethnic_tensions", "regional_conflicts"]},
+}
+
+EXCHANGES = [
+    {"name": "NYSE", "tz": "America/New_York", "open": 9.5, "close": 16, "country": "US"},
+    {"name": "NASDAQ", "tz": "America/New_York", "open": 9.5, "close": 16, "country": "US"},
+    {"name": "LSE", "tz": "Europe/London", "open": 8, "close": 16.5, "country": "GB"},
+    {"name": "TSE", "tz": "Asia/Tokyo", "open": 9, "close": 15, "country": "JP"},
+    {"name": "SSE", "tz": "Asia/Shanghai", "open": 9.5, "close": 15, "country": "CN"},
+    {"name": "HKEX", "tz": "Asia/Hong_Kong", "open": 9.5, "close": 16, "country": "HK"},
+    {"name": "FRA", "tz": "Europe/Berlin", "open": 8, "close": 20, "country": "DE"},
+    {"name": "TSX", "tz": "America/Toronto", "open": 9.5, "close": 16, "country": "CA"},
+    {"name": "MOEX", "tz": "Europe/Moscow", "open": 10, "close": 18.5, "country": "RU"},
+]
+
+
+def _exchange_open(ex: dict[str, Any]) -> bool:
+    try:
+        now = datetime.now(ZoneInfo(ex["tz"]))
+        if now.weekday() >= 5:
+            return False
+        decimal = now.hour + now.minute / 60
+        return ex["open"] <= decimal < ex["close"]
+    except Exception:
+        return False
+
+
+def build_country_risk_payload() -> dict[str, Any]:
+    quake_risks: dict[str, float] = {}
+    try:
+        resp = fetch_with_curl(
+            "https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/4.5_day.geojson",
+            timeout=5,
+        )
+        if resp.status_code == 200:
+            for f in resp.json().get("features") or []:
+                place = (f.get("properties") or {}).get("place") or ""
+                mag = (f.get("properties") or {}).get("mag") or 0
+                for code in RISK_FACTORS:
+                    if code.lower() in place.lower():
+                        quake_risks[code] = quake_risks.get(code, 0) + mag
+    except Exception:
+        pass
+
+    countries = []
+    for code, data in RISK_FACTORS.items():
+        base = data["base"]
+        score = min(100, base + quake_risks.get(code, 0))
+        countries.append(
+            {
+                "code": code,
+                "risk_score": score,
+                "risk_level": "CRITICAL" if base >= 80 else "HIGH" if base >= 60 else "ELEVATED" if base >= 40 else "LOW",
+                "tags": data["tags"],
+            }
+        )
+    countries.sort(key=lambda c: c["risk_score"], reverse=True)
+    exchanges = [{"name": e["name"], "country": e["country"], "open": _exchange_open(e)} for e in EXCHANGES]
+    return {
+        "countries": countries,
+        "exchanges": exchanges,
+        "open_exchanges": sum(1 for e in exchanges if e["open"]),
+        "total_exchanges": len(exchanges),
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+    }

backend/services/kiwisdr_fetcher.py

@@ -32,14 +32,14 @@ logger = logging.getLogger(__name__)
 _REFRESH_SECONDS = 24 * 3600
 kiwisdr_cache: TTLCache = TTLCache(maxsize=1, ttl=_REFRESH_SECONDS)
 
-_SOURCE_URL = "http://rx.linkfanel.net/kiwisdr_com.js"
+_SOURCE_URL_HTTP = "http://rx.linkfanel.net/kiwisdr_com.js"
+_SOURCE_URL_HTTPS = "https://rx.linkfanel.net/kiwisdr_com.js"
 _CACHE_FILE = Path(__file__).resolve().parent.parent / "data" / "kiwisdr_cache.json"
 # Bundled fallback — shipped with the codebase so the KiwiSDR layer always
 # has something to render even when the upstream is unreachable, returns
-# garbage, or appears to have been tampered with. Issue #206: the upstream
-# only speaks HTTP, so we can't rely on TLS for integrity — instead we
-# validate the response's shape and fall back to this bundle if it doesn't
-# look right.
+# garbage, or appears to have been tampered with. Issue #206 / #364: try HTTPS
+# first, then HTTP; we still validate shape and fall back to this bundle if the
+# payload does not look right.
 _BUNDLED_FALLBACK = Path(__file__).resolve().parent.parent / "data" / "kiwisdr_directory.json"
 
 # Minimum number of receivers we expect from a healthy upstream response.
@@ -184,6 +184,29 @@ def _validate_fetched_nodes(nodes: list[dict]) -> bool:
     return True
 
 
+def _fetch_mirror_payload_text() -> str | None:
+    """Try HTTPS first, then HTTP. Shape validation still applies (#364)."""
+    from services.network_utils import fetch_with_curl
+
+    last_error: Exception | None = None
+    for url in (_SOURCE_URL_HTTPS, _SOURCE_URL_HTTP):
+        try:
+            res = fetch_with_curl(url, timeout=20)
+            if res and res.status_code == 200:
+                if url == _SOURCE_URL_HTTP:
+                    logger.info(
+                        "KiwiSDR: HTTPS mirror unavailable; using HTTP with shape validation"
+                    )
+                return res.text
+            last_error = RuntimeError(f"HTTP {getattr(res, 'status_code', 'unknown')}")
+        except Exception as e:
+            last_error = e
+            logger.debug("KiwiSDR mirror fetch failed for %s: %s", url, e)
+    if last_error is not None:
+        logger.warning("KiwiSDR mirror fetch failed: %s", last_error)
+    return None
+
+
 def _load_bundled_fallback() -> list[dict]:
     """Last-resort directory shipped with the codebase. Always returns a
     list (may be empty if the bundle is missing in older deployments)."""
@@ -202,9 +225,8 @@ def _load_bundled_fallback() -> list[dict]:
 def fetch_kiwisdr_nodes() -> list[dict]:
     """Return the KiwiSDR receiver list, refreshed at most once per day.
 
-    Layered fallback (issue #206 — upstream is HTTP-only, so we defend with
-    content validation + bundled static directory rather than trying to
-    upgrade the transport):
+    Layered fallback (issue #206 / #364 — HTTPS first, HTTP fallback, plus
+    content validation + bundled static directory):
 
       1. In-memory cache (handled by @cached on this function)
       2. On-disk cache if <24h old
@@ -216,8 +238,6 @@ def fetch_kiwisdr_nodes() -> list[dict]:
     tampered upstream returning garbage is caught by _validate_fetched_nodes()
     and falls through to whatever previously-trusted snapshot we have.
     """
-    from services.network_utils import fetch_with_curl
-
     # 1. Trust on-disk cache if fresh.
     cached_nodes = _load_disk_cache()
     if cached_nodes is not None:
@@ -230,14 +250,12 @@ def fetch_kiwisdr_nodes() -> list[dict]:
     fresh_nodes: list[dict] = []
     fetch_succeeded = False
     try:
-        res = fetch_with_curl(_SOURCE_URL, timeout=20)
-        if res and res.status_code == 200:
-            fresh_nodes = _parse_mirror_payload(res.text)
+        body = _fetch_mirror_payload_text()
+        if body:
+            fresh_nodes = _parse_mirror_payload(body)
             fetch_succeeded = True
         else:
-            logger.warning(
-                f"KiwiSDR fetch returned HTTP {res.status_code if res else 'no response'}"
-            )
+            logger.warning("KiwiSDR fetch returned no usable mirror payload")
     except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
         logger.warning(f"KiwiSDR fetch exception: {e}")
 

backend/services/liveuamap_scraper.py

@@ -27,11 +27,21 @@ def fetch_liveuamap():
         browser = p.chromium.launch(
             headless=True, args=["--disable-blink-features=AutomationControlled"]
         )
+        from services.network_utils import outbound_user_agent
+
+        # Per-install handle (no shared Shadowbroker product token). Stealth remains
+        # for Turnstile; see docs/OUTBOUND_DATA.md #348.
+        playwright_ua = (
+            f"Mozilla/5.0 (compatible; {outbound_user_agent('liveuamap')})"
+        )
         context = browser.new_context(
-            user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
+            user_agent=playwright_ua,
             viewport={"width": 1920, "height": 1080},
             color_scheme="dark",
         )
+        # Bound navigation and script evaluation so a stuck region cannot hang the slow pool.
+        context.set_default_navigation_timeout(60_000)
+        context.set_default_timeout(30_000)
         page = context.new_page()
         stealth_sync(page)
 

backend/services/liveuamap_settings.py

@@ -0,0 +1,73 @@
+"""LiveUAMap Playwright scraper opt-in (#348) — UI consent on Windows."""
+
+from __future__ import annotations
+
+import json
+import logging
+import os
+import threading
+from pathlib import Path
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+_OPT_IN_FILE = Path(__file__).resolve().parent.parent / "data" / "liveuamap_scraper_opt_in.json"
+_OPT_IN_LOCK = threading.Lock()
+
+
+def _env_flag(name: str) -> str:
+    return str(os.getenv(name, "")).strip().lower()
+
+
+def liveuamap_requires_ui_opt_in() -> bool:
+    """Windows local installs need explicit consent before Playwright contacts LiveUAMap."""
+    return os.name == "nt"
+
+
+def get_liveuamap_ui_opt_in() -> bool:
+    if not _OPT_IN_FILE.exists():
+        return False
+    try:
+        payload = json.loads(_OPT_IN_FILE.read_text(encoding="utf-8"))
+        return bool(payload.get("opted_in"))
+    except (OSError, json.JSONDecodeError, TypeError) as e:
+        logger.warning("LiveUAMap opt-in file unreadable: %s", e)
+        return False
+
+
+def set_liveuamap_ui_opt_in(opted_in: bool) -> None:
+    _OPT_IN_FILE.parent.mkdir(parents=True, exist_ok=True)
+    with _OPT_IN_LOCK:
+        _OPT_IN_FILE.write_text(
+            json.dumps({"opted_in": bool(opted_in)}, indent=2),
+            encoding="utf-8",
+        )
+
+
+def liveuamap_scraper_enabled() -> bool:
+    """Whether the Playwright LiveUAMap scraper may run on this backend."""
+    setting = _env_flag("SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER")
+    if setting in {"1", "true", "yes", "on"}:
+        return True
+    if setting in {"0", "false", "no", "off"}:
+        return False
+    if not liveuamap_requires_ui_opt_in():
+        return True
+    return get_liveuamap_ui_opt_in()
+
+
+def liveuamap_scraper_status() -> dict[str, Any]:
+    setting = _env_flag("SHADOWBROKER_ENABLE_LIVEUAMAP_SCRAPER")
+    env_override = None
+    if setting in {"1", "true", "yes", "on"}:
+        env_override = "on"
+    elif setting in {"0", "false", "no", "off"}:
+        env_override = "off"
+    ui_opted_in = get_liveuamap_ui_opt_in()
+    requires = liveuamap_requires_ui_opt_in()
+    return {
+        "platform_requires_opt_in": requires,
+        "ui_opted_in": ui_opted_in,
+        "scraper_enabled": liveuamap_scraper_enabled(),
+        "env_override": env_override,
+    }

backend/services/mesh/mesh_dm_relay.py

@@ -317,6 +317,39 @@ class DMRelay:
     def _self_mailbox_limit(self) -> int:
         return max(1, int(self._settings().MESH_DM_SELF_MAILBOX_LIMIT))
 
+    def _per_sender_pending_limit(self) -> int:
+        """Anti-spam cap on UNACKED messages a single sender can have parked
+        in a single recipient mailbox at any one time. See ``config.py``
+        ``MESH_DM_PENDING_PER_SENDER_LIMIT`` for the threat model — this
+        rule is enforced both at ``deposit`` (local) and at
+        ``accept_replica`` (peer push acceptance), making it a network
+        rule rather than a client-side honor system."""
+        try:
+            limit = int(getattr(self._settings(), "MESH_DM_PENDING_PER_SENDER_LIMIT", 2) or 2)
+        except (TypeError, ValueError):
+            limit = 2
+        return max(1, limit)
+
+    def _per_sender_pending_count(
+        self,
+        *,
+        mailbox_key: str,
+        sender_block_ref: str,
+    ) -> int:
+        """Count UNACKED messages from ``sender_block_ref`` currently parked
+        in ``mailbox_key``. Caller already holds ``self._lock``.
+
+        Messages that have been claimed/acked are removed from the mailbox
+        list (see ``claim_message_ids``), so anything still here is by
+        definition unacked. We count by exact ``sender_block_ref`` match
+        — that's the per-pair sender identity used for blocking too, so
+        the cap is naturally per-(sender, recipient).
+        """
+        if not mailbox_key or not sender_block_ref:
+            return 0
+        messages = self._mailboxes.get(mailbox_key, [])
+        return sum(1 for m in messages if m.sender_block_ref == sender_block_ref)
+
     def _nonce_ttl_seconds(self) -> int:
         return max(30, int(self._settings().MESH_DM_NONCE_TTL_S))
 
@@ -1515,6 +1548,29 @@ class DMRelay:
             if len(self._mailboxes[mailbox_key]) >= self._mailbox_limit_for_class(delivery_class):
                 metrics_inc("dm_drop_full")
                 return {"ok": False, "detail": "Recipient mailbox full"}
+            # Anti-spam: per-(sender, recipient) cap on unacked messages.
+            # A sender who already has the configured number of messages
+            # parked in this mailbox can't deposit more until the recipient
+            # pulls (acks) at least one. The same cap is re-enforced on
+            # inbound replication in ``accept_replica`` so this rule isn't
+            # bypassable by patching out the local check on a hostile
+            # sender's relay — see config.py
+            # MESH_DM_PENDING_PER_SENDER_LIMIT for the threat model.
+            per_sender_limit = self._per_sender_pending_limit()
+            pending = self._per_sender_pending_count(
+                mailbox_key=mailbox_key,
+                sender_block_ref=sender_block_ref,
+            )
+            if pending >= per_sender_limit:
+                metrics_inc("dm_drop_per_sender_cap")
+                return {
+                    "ok": False,
+                    "detail": (
+                        f"Recipient already has {pending} unread message"
+                        f"{'s' if pending != 1 else ''} from you. Wait for "
+                        "them to read your messages before sending more."
+                    ),
+                }
             if not msg_id:
                 msg_id = f"dm_{int(time.time() * 1000)}_{secrets.token_hex(6)}"
             elif any(m.msg_id == msg_id for m in self._mailboxes[mailbox_key]):
@@ -1539,8 +1595,245 @@ class DMRelay:
             )
             self._stats["messages_in_memory"] = sum(len(v) for v in self._mailboxes.values())
             self._save()
+            # Cross-node mailbox replication: push the freshly-stored
+            # envelope to every authenticated relay peer so the recipient
+            # can log into ANY node and find their messages. The push is
+            # async (fire-and-forget thread) so deposit() returns
+            # immediately — slow Tor peers can't block the sender's UX.
+            # Each receiving peer re-enforces the per-sender cap on
+            # acceptance, so hostile relays can't widen the cap.
+            try:
+                envelope_for_push = self.envelope_for_replication(
+                    mailbox_key=mailbox_key, msg_id=msg_id,
+                )
+                if envelope_for_push:
+                    self._replicate_envelope_to_peers_async(
+                        envelope=envelope_for_push,
+                    )
+            except Exception:
+                metrics_inc("dm_replication_push_error")
             return {"ok": True, "msg_id": msg_id}
 
+    def accept_replica(
+        self,
+        *,
+        envelope: dict[str, Any],
+        originating_peer_url: str = "",
+    ) -> dict[str, Any]:
+        """Receive a DM envelope replicated from a peer relay.
+
+        Cross-node mailbox replication entry point. When a sender's local
+        relay accepts a ``deposit`` and pushes the envelope to
+        ``MESH_RELAY_PEERS`` (so the recipient can log into any peer
+        node and find their messages), each receiving peer calls
+        ``accept_replica`` to ingest it.
+
+        The per-(sender, recipient) cap is re-enforced HERE. That's what
+        makes the rule a NETWORK rule rather than a client-side honor
+        system: a hostile sender who patches out the local ``deposit``
+        check still can't get a 3rd unacked message to spread, because
+        every honest peer enforces the same cap on inbound replicas.
+        Result: hostile relays can hold extras locally, but those extras
+        never reach any node a legitimate recipient is polling from.
+
+        Returns the same shape as ``deposit`` so the calling endpoint can
+        forward the result back to the originating peer.
+        """
+        if not isinstance(envelope, dict):
+            return {"ok": False, "detail": "envelope must be an object"}
+        msg_id = str(envelope.get("msg_id", "") or "").strip()
+        mailbox_key = str(envelope.get("mailbox_key", "") or "").strip()
+        sender_block_ref = str(envelope.get("sender_block_ref", "") or "").strip()
+        ciphertext = str(envelope.get("ciphertext", "") or "")
+        if not msg_id or not mailbox_key or not sender_block_ref or not ciphertext:
+            return {"ok": False, "detail": "envelope missing required fields"}
+
+        with self._lock:
+            self._refresh_from_shared_relay()
+            self._cleanup_expired()
+
+            # Idempotent — if we already hold this exact msg_id, the
+            # replication round-tripped or a peer pushed the same
+            # envelope through multiple paths. Accept silently.
+            if any(m.msg_id == msg_id for m in self._mailboxes.get(mailbox_key, [])):
+                metrics_inc("dm_replica_duplicate")
+                return {"ok": True, "msg_id": msg_id, "duplicate": True}
+
+            # Same per-class cap as the deposit path — defense in depth
+            # against a peer that wraps a "deposit" as a "replica" to
+            # bypass the class limit.
+            delivery_class = str(envelope.get("delivery_class", "") or "")
+            if delivery_class in ("request", "shared", "self"):
+                class_limit = self._mailbox_limit_for_class(delivery_class)
+            else:
+                class_limit = self._shared_mailbox_limit()
+            if len(self._mailboxes.get(mailbox_key, [])) >= class_limit:
+                metrics_inc("dm_replica_drop_full")
+                return {"ok": False, "detail": "Recipient mailbox full"}
+
+            # THE network rule: per-(sender, recipient) anti-spam cap.
+            per_sender_limit = self._per_sender_pending_limit()
+            pending = self._per_sender_pending_count(
+                mailbox_key=mailbox_key,
+                sender_block_ref=sender_block_ref,
+            )
+            if pending >= per_sender_limit:
+                metrics_inc("dm_replica_drop_per_sender_cap")
+                # Returning a structured rejection — the sender's relay
+                # learns its envelope was rejected by an honest peer and
+                # can stop trying to push it.
+                return {
+                    "ok": False,
+                    "detail": (
+                        "Per-sender cap reached on this relay; refusing replica"
+                    ),
+                    "cap_violation": True,
+                    "pending": pending,
+                    "limit": per_sender_limit,
+                }
+
+            # Accept the replica into the local mailbox.
+            self._mailboxes[mailbox_key].append(
+                DMMessage(
+                    sender_id=str(envelope.get("sender_id", "") or ""),
+                    ciphertext=ciphertext,
+                    timestamp=float(envelope.get("timestamp", time.time()) or time.time()),
+                    msg_id=msg_id,
+                    delivery_class=str(envelope.get("delivery_class", "shared") or "shared"),
+                    sender_seal=str(envelope.get("sender_seal", "") or ""),
+                    relay_salt=str(envelope.get("relay_salt", "") or ""),
+                    sender_block_ref=sender_block_ref,
+                    payload_format=str(envelope.get("payload_format", "dm1") or "dm1"),
+                    session_welcome=str(envelope.get("session_welcome", "") or ""),
+                )
+            )
+            self._stats["messages_in_memory"] = sum(len(v) for v in self._mailboxes.values())
+            self._save()
+            metrics_inc("dm_replica_accepted")
+            return {"ok": True, "msg_id": msg_id}
+
+    def _replicate_envelope_to_peers_async(
+        self,
+        *,
+        envelope: dict[str, Any],
+    ) -> None:
+        """Push an outbound DM envelope to every authenticated relay peer.
+
+        Fire-and-forget: spawned in a background thread so ``deposit``
+        returns to the caller immediately. Per-peer errors are logged
+        and swallowed — the sender's UX must not block on slow Tor
+        peers, and a peer that's down today gets the next message
+        whenever it comes back. Inbound recipient polling from a healthy
+        peer keeps the system functional during peer failures.
+
+        Each peer is authed with the existing per-peer HMAC pattern
+        (#256) — same headers and key resolver gate-message replication
+        uses, so a hostile node that doesn't know any peer's HMAC key
+        can't impersonate a legitimate relay.
+        """
+        import threading
+
+        def _do_push():
+            try:
+                import hashlib
+                import hmac
+                import requests as _requests
+
+                from services.mesh.mesh_crypto import (
+                    normalize_peer_url,
+                    resolve_peer_key_for_url,
+                )
+                from services.mesh.mesh_router import (
+                    authenticated_push_peer_urls,
+                )
+
+                peers = authenticated_push_peer_urls()
+                if not peers:
+                    return
+
+                payload = json.dumps(
+                    {"envelope": envelope},
+                    separators=(",", ":"),
+                    ensure_ascii=False,
+                ).encode("utf-8")
+
+                timeout = max(
+                    1,
+                    int(getattr(self._settings(), "MESH_RELAY_PUSH_TIMEOUT_S", 10) or 10),
+                )
+
+                for peer_url in peers:
+                    try:
+                        normalized = normalize_peer_url(peer_url)
+                        headers = {"Content-Type": "application/json"}
+                        peer_key = resolve_peer_key_for_url(normalized)
+                        if peer_key:
+                            headers["X-Peer-Url"] = normalized
+                            headers["X-Peer-HMAC"] = hmac.new(
+                                peer_key, payload, hashlib.sha256
+                            ).hexdigest()
+                        url = f"{peer_url}/api/mesh/dm/replicate-envelope"
+                        resp = _requests.post(
+                            url, data=payload, timeout=timeout, headers=headers,
+                        )
+                        if resp.status_code == 200:
+                            metrics_inc("dm_replication_push_ok")
+                        else:
+                            # 4xx including the structured cap_violation
+                            # rejection from accept_replica — sender's
+                            # relay learns and stops retrying this msg_id.
+                            metrics_inc("dm_replication_push_rejected")
+                    except Exception:
+                        # Per-peer failure is non-fatal — log to metrics
+                        # but don't break the loop. Other peers and a
+                        # future retry can still propagate the envelope.
+                        metrics_inc("dm_replication_push_error")
+                        continue
+            except Exception:
+                # Outer guard — never let replication errors propagate
+                # back to the sender's deposit() caller.
+                metrics_inc("dm_replication_push_error")
+
+        thread = threading.Thread(
+            target=_do_push,
+            name="dm-replicate-push",
+            daemon=True,
+        )
+        thread.start()
+
+    def envelope_for_replication(
+        self,
+        *,
+        mailbox_key: str,
+        msg_id: str,
+    ) -> dict[str, Any] | None:
+        """Return the wire-form envelope for a stored message, suitable
+        for POSTing to a peer relay's replicate-envelope endpoint.
+
+        Returns ``None`` if the message isn't in the mailbox (already
+        acked, expired, never existed). The caller holds the
+        responsibility for transport security (Tor SOCKS for .onion
+        peers, per-peer HMAC) and for not leaking the envelope to
+        clearnet peers when private transport is required.
+        """
+        with self._lock:
+            for m in self._mailboxes.get(mailbox_key, []):
+                if m.msg_id == msg_id:
+                    return {
+                        "msg_id": m.msg_id,
+                        "mailbox_key": mailbox_key,
+                        "sender_id": m.sender_id,
+                        "sender_block_ref": m.sender_block_ref,
+                        "sender_seal": m.sender_seal,
+                        "ciphertext": m.ciphertext,
+                        "timestamp": m.timestamp,
+                        "delivery_class": m.delivery_class,
+                        "relay_salt": m.relay_salt,
+                        "payload_format": m.payload_format,
+                        "session_welcome": m.session_welcome,
+                    }
+        return None
+
     def is_blocked(self, recipient_id: str, sender_id: str) -> bool:
         with self._lock:
             self._refresh_from_shared_relay()

backend/services/mesh/mesh_hashchain.py

@@ -33,8 +33,9 @@ Each event contains:
 
 Persistence: JSON file at backend/data/infonet.json
 
-Encrypted gate chat events are intentionally kept off the public chain and
-persisted separately via GateMessageStore.
+Encrypted gate chat events are private-chain ciphertext records. They are
+excluded from public read surfaces and replicated only over private Infonet
+transports.
 """
 
 import json
@@ -64,6 +65,8 @@ from services.mesh.mesh_schema import (
     ACTIVE_PUBLIC_LEDGER_EVENT_TYPES,
     PUBLIC_LEDGER_EVENT_TYPES,
     validate_event_payload,
+    validate_private_dm_ledger_payload,
+    validate_private_gate_ledger_payload,
     validate_protocol_fields,
     validate_public_ledger_payload,
 )
@@ -127,6 +130,12 @@ GATE_SEGMENT_MAX_COMPRESSED_BYTES = max(
     int(os.environ.get("MESH_GATE_SEGMENT_MAX_COMPRESSED_BYTES", str(2 * 1024 * 1024)) or str(2 * 1024 * 1024)),
 )
 GATE_SEGMENT_STORAGE_VERSION = 1
+DM_HASHCHAIN_SPOOL_LIMIT = max(1, int(os.environ.get("MESH_DM_HASHCHAIN_SPOOL_LIMIT", "2") or "2"))
+DM_HASHCHAIN_SPOOL_SENDER_LIMIT = max(
+    1,
+    int(os.environ.get("MESH_DM_HASHCHAIN_SPOOL_SENDER_LIMIT", "1") or "1"),
+)
+DM_HASHCHAIN_SPOOL_TTL_S = max(60, int(os.environ.get("MESH_DM_HASHCHAIN_SPOOL_TTL_S", "3600") or "3600"))
 _PUBLIC_EVENT_APPEND_HOOKS: list[Any] = []
 _PUBLIC_EVENT_APPEND_HOOKS_LOCK = threading.Lock()
 
@@ -340,6 +349,32 @@ def _private_gate_event_id(
     ).hexdigest()
 
 
+def _private_gate_signature_payload_variants(gate_id: str, event: dict[str, Any]) -> list[dict[str, Any]]:
+    payload = _private_gate_signature_payload(gate_id, event)
+    variants: list[dict[str, Any]] = [payload]
+    event_payload = event.get("payload") if isinstance(event.get("payload"), dict) else {}
+    reply_to = str(event_payload.get("reply_to", "") or "").strip()
+    if reply_to:
+        variants.append(_private_gate_signature_payload(gate_id, event, include_reply_to=False))
+    if "epoch" in payload:
+        no_epoch = dict(payload)
+        no_epoch.pop("epoch", None)
+        variants.append(no_epoch)
+        if reply_to:
+            no_epoch_no_reply = _private_gate_signature_payload(gate_id, event, include_reply_to=False)
+            no_epoch_no_reply.pop("epoch", None)
+            variants.append(no_epoch_no_reply)
+    deduped: list[dict[str, Any]] = []
+    seen: set[str] = set()
+    for variant in variants:
+        material = json.dumps(variant, sort_keys=True, separators=(",", ":"), ensure_ascii=False)
+        if material in seen:
+            continue
+        seen.add(material)
+        deduped.append(variant)
+    return deduped
+
+
 def _sanitize_private_gate_event(gate_id: str, event: dict[str, Any]) -> dict[str, Any]:
     payload = event.get("payload") if isinstance(event.get("payload"), dict) else {}
     sanitized = {
@@ -1568,11 +1603,18 @@ class Infonet:
     def _rebuild_state(self) -> None:
         self.event_index = {}
         self.node_sequences = {}
-        # Keep private signed-write replay domains across public-chain
-        # rebuilds; these domains protect local side effects that are not
-        # represented as public Infonet events.
-        if not isinstance(getattr(self, "sequence_domains", None), dict):
-            self.sequence_domains = {}
+        # Keep private signed-write replay domains that are not represented
+        # on-chain, but rebuild the gate_message sequence domain from chain
+        # events so reloads/fork application do not mix it with public
+        # per-node message sequences.
+        preserved_domains = {}
+        if isinstance(getattr(self, "sequence_domains", None), dict):
+            preserved_domains = {
+                key: value
+                for key, value in self.sequence_domains.items()
+                if not str(key or "").endswith("|gate_message")
+            }
+        self.sequence_domains = dict(preserved_domains)
         self.public_key_bindings = {}
         self.revocations = {}
         self._replay_filter = ReplayFilter()
@@ -1584,9 +1626,12 @@ class Infonet:
             node_id = evt.get("node_id", "")
             sequence = _safe_int(evt.get("sequence", 0) or 0, 0)
             if node_id and sequence:
-                last = self.node_sequences.get(node_id, 0)
+                sequence_table, sequence_key = self._sequence_table_for_event(
+                    evt.get("event_type", ""), node_id
+                )
+                last = sequence_table.get(sequence_key, 0)
                 if sequence > last:
-                    self.node_sequences[node_id] = sequence
+                    sequence_table[sequence_key] = sequence
             public_key = str(evt.get("public_key", "") or "")
             if public_key and node_id:
                 existing = self.public_key_bindings.get(public_key)
@@ -1898,6 +1943,295 @@ class Infonet:
         self._save()
         return True, "ok"
 
+    def _sequence_table_for_event(self, event_type: str, node_id: str) -> tuple[dict[str, int], str]:
+        normalized = str(event_type or "").strip().lower()
+        if normalized == "gate_message":
+            return self.sequence_domains, f"{node_id}|gate_message"
+        if normalized == "dm_message":
+            return self.sequence_domains, f"{node_id}|dm_message"
+        return self.node_sequences, node_id
+
+    def _dm_spool_target_key(self, payload: dict[str, Any]) -> tuple[str, str]:
+        delivery_class = str(payload.get("delivery_class", "") or "").strip().lower()
+        if delivery_class == "shared":
+            key = str(payload.get("recipient_token", "") or "").strip()
+        else:
+            key = str(payload.get("recipient_id", "") or "").strip()
+        return delivery_class, key
+
+    def _dm_spool_active_counts(
+        self,
+        payload: dict[str, Any],
+        *,
+        sender_id: str = "",
+        now: float | None = None,
+    ) -> tuple[int, int]:
+        delivery_class, key = self._dm_spool_target_key(payload)
+        if not key:
+            return 0, 0
+        sender_id = str(sender_id or "").strip()
+        current = time.time() if now is None else float(now)
+        total_count = 0
+        sender_count = 0
+        for evt in reversed(self.events):
+            if evt.get("event_type") != "dm_message":
+                continue
+            evt_payload = evt.get("payload") if isinstance(evt.get("payload"), dict) else {}
+            evt_delivery_class, evt_key = self._dm_spool_target_key(evt_payload)
+            if evt_delivery_class != delivery_class:
+                continue
+            if evt_key != key:
+                continue
+            evt_ts = float(evt_payload.get("timestamp", evt.get("timestamp", 0)) or 0)
+            if evt_ts > 0 and current - evt_ts > DM_HASHCHAIN_SPOOL_TTL_S:
+                continue
+            total_count += 1
+            if sender_id and str(evt.get("node_id", "") or "").strip() == sender_id:
+                sender_count += 1
+            if total_count >= DM_HASHCHAIN_SPOOL_LIMIT and (
+                not sender_id or sender_count >= DM_HASHCHAIN_SPOOL_SENDER_LIMIT
+            ):
+                break
+        return total_count, sender_count
+
+    def _dm_spool_active_count(self, payload: dict[str, Any], *, now: float | None = None) -> int:
+        total_count, _sender_count = self._dm_spool_active_counts(payload, now=now)
+        return total_count
+
+    def append_private_dm_message(
+        self,
+        *,
+        node_id: str,
+        payload: dict,
+        signature: str,
+        sequence: int,
+        public_key: str,
+        public_key_algo: str,
+        protocol_version: str = "",
+        timestamp: float = 0,
+    ) -> dict:
+        """Append an encrypted DM dead-drop message to the private Infonet ledger.
+
+        The event is a small offline spool, capped per mailbox target, so the
+        hashchain can carry a couple of sealed DMs without becoming an
+        unbounded global mailbox.
+        """
+        event_type = "dm_message"
+        if sequence <= 0:
+            raise ValueError("sequence is required and must be > 0")
+        sequence_table, sequence_key = self._sequence_table_for_event(event_type, node_id)
+        last = sequence_table.get(sequence_key, 0)
+        if sequence <= last:
+            raise ValueError(f"Replay detected: sequence {sequence} <= last {last}")
+
+        raw_payload = dict(payload or {})
+        if "message" in raw_payload or "plaintext" in raw_payload or "_local_plaintext" in raw_payload:
+            raise ValueError("private DM ledger payload must not contain plaintext")
+        if str(raw_payload.get("transport_lock", "") or "").strip().lower() != "private_strong":
+            raise ValueError("DM hashchain spool requires private_strong transport_lock")
+
+        payload = normalize_payload(event_type, raw_payload)
+        ok, reason = validate_private_dm_ledger_payload(payload)
+        if not ok:
+            raise ValueError(reason)
+        total_count, sender_count = self._dm_spool_active_counts(payload, sender_id=node_id)
+        if sender_count >= DM_HASHCHAIN_SPOOL_SENDER_LIMIT:
+            raise ValueError("DM hashchain sender spool full for recipient")
+        if total_count >= DM_HASHCHAIN_SPOOL_LIMIT:
+            raise ValueError("DM hashchain spool full for recipient")
+
+        payload_json = json.dumps(payload, sort_keys=True, separators=(",", ":"), ensure_ascii=False)
+        if len(payload_json.encode("utf-8")) > MAX_PAYLOAD_BYTES:
+            raise ValueError("payload exceeds max size")
+
+        protocol_version = str(protocol_version or PROTOCOL_VERSION)
+        ok, reason = validate_protocol_fields(protocol_version, NETWORK_ID)
+        if not ok:
+            raise ValueError(reason)
+
+        if not (signature and public_key and public_key_algo):
+            raise ValueError("Missing signature fields")
+        algo = parse_public_key_algo(public_key_algo)
+        if not algo:
+            raise ValueError("Unsupported public_key_algo")
+        if not verify_node_binding(node_id, public_key):
+            raise ValueError("node_id mismatch")
+        bound, bind_reason = self._bind_public_key(public_key, node_id)
+        if not bound:
+            raise ValueError(bind_reason)
+        sig_payload = build_signature_payload(
+            event_type=event_type,
+            node_id=node_id,
+            sequence=sequence,
+            payload=payload,
+        )
+        if not verify_signature(
+            public_key_b64=public_key,
+            public_key_algo=public_key_algo,
+            signature_hex=signature,
+            payload=sig_payload,
+        ):
+            raise ValueError("Invalid signature")
+
+        revoked, _info = self._revocation_status(public_key)
+        if revoked:
+            raise ValueError("public key is revoked")
+
+        event = ChainEvent(
+            prev_hash=self.head_hash,
+            event_type=event_type,
+            node_id=node_id,
+            payload=payload,
+            timestamp=float(timestamp or time.time()),
+            sequence=sequence,
+            signature=signature,
+            public_key=public_key,
+            public_key_algo=public_key_algo,
+            protocol_version=protocol_version,
+        )
+        event_dict = event.to_dict()
+        self._write_wal(event_dict)
+        self.events.append(event_dict)
+        self.event_index[event.event_id] = len(self.events) - 1
+        self.head_hash = event.event_id
+        sequence_table[sequence_key] = sequence
+        self._replay_filter.add(event.event_id)
+        self._invalidate_merkle_cache()
+        self._update_counters_for_event(event_dict)
+        self._save()
+
+        try:
+            from services.mesh.mesh_rns import rns_bridge
+
+            rns_bridge.publish_event(event_dict)
+        except Exception:
+            pass
+        _notify_public_event_append_hooks(event_dict)
+        logger.info(
+            f"Infonet append [dm_message] by {_redact_node(node_id)} seq={sequence} "
+            f"id={event.event_id[:16]}..."
+        )
+        return event_dict
+
+    def append_private_gate_message(
+        self,
+        *,
+        node_id: str,
+        payload: dict,
+        signature: str,
+        sequence: int,
+        public_key: str,
+        public_key_algo: str,
+        protocol_version: str = "",
+        timestamp: float = 0,
+    ) -> dict:
+        """Append an encrypted gate message to the private Infonet ledger.
+
+        Gate messages use their own sequence domain so a gate post cannot
+        consume or replay-block the author's public broadcast sequence.
+        """
+        event_type = "gate_message"
+        if sequence <= 0:
+            raise ValueError("sequence is required and must be > 0")
+        sequence_table, sequence_key = self._sequence_table_for_event(event_type, node_id)
+        last = sequence_table.get(sequence_key, 0)
+        if sequence <= last:
+            raise ValueError(f"Replay detected: sequence {sequence} <= last {last}")
+
+        raw_payload = dict(payload or {})
+        if "message" in raw_payload or "_local_plaintext" in raw_payload or "_local_reply_to" in raw_payload:
+            raise ValueError("private gate ledger payload must not contain plaintext")
+        if str(raw_payload.get("transport_lock", "") or "").strip().lower() != "private_strong":
+            raise ValueError("gate messages require private_strong transport_lock")
+
+        payload = normalize_payload(event_type, raw_payload)
+        ok, reason = validate_private_gate_ledger_payload(payload)
+        if not ok:
+            raise ValueError(reason)
+
+        payload_json = json.dumps(payload, sort_keys=True, separators=(",", ":"), ensure_ascii=False)
+        if len(payload_json.encode("utf-8")) > MAX_PAYLOAD_BYTES:
+            raise ValueError("payload exceeds max size")
+
+        protocol_version = str(protocol_version or PROTOCOL_VERSION)
+        ok, reason = validate_protocol_fields(protocol_version, NETWORK_ID)
+        if not ok:
+            raise ValueError(reason)
+
+        if not (signature and public_key and public_key_algo):
+            raise ValueError("Missing signature fields")
+        algo = parse_public_key_algo(public_key_algo)
+        if not algo:
+            raise ValueError("Unsupported public_key_algo")
+        if not verify_node_binding(node_id, public_key):
+            raise ValueError("node_id mismatch")
+        bound, bind_reason = self._bind_public_key(public_key, node_id)
+        if not bound:
+            raise ValueError(bind_reason)
+        event_for_signature = {"payload": payload}
+        signature_ok = False
+        for signature_payload in _private_gate_signature_payload_variants(
+            str(payload.get("gate", "") or ""),
+            event_for_signature,
+        ):
+            sig_payload = build_signature_payload(
+                event_type=event_type,
+                node_id=node_id,
+                sequence=sequence,
+                payload=signature_payload,
+            )
+            if verify_signature(
+                public_key_b64=public_key,
+                public_key_algo=public_key_algo,
+                signature_hex=signature,
+                payload=sig_payload,
+            ):
+                signature_ok = True
+                break
+        if not signature_ok:
+            raise ValueError("Invalid signature")
+
+        revoked, _info = self._revocation_status(public_key)
+        if revoked:
+            raise ValueError("public key is revoked")
+
+        event = ChainEvent(
+            prev_hash=self.head_hash,
+            event_type=event_type,
+            node_id=node_id,
+            payload=payload,
+            timestamp=float(timestamp or time.time()),
+            sequence=sequence,
+            signature=signature,
+            public_key=public_key,
+            public_key_algo=public_key_algo,
+            protocol_version=protocol_version,
+        )
+        event_dict = event.to_dict()
+        self._write_wal(event_dict)
+        self.events.append(event_dict)
+        self.event_index[event.event_id] = len(self.events) - 1
+        self.head_hash = event.event_id
+        sequence_table[sequence_key] = sequence
+        self._replay_filter.add(event.event_id)
+        self._invalidate_merkle_cache()
+        self._update_counters_for_event(event_dict)
+        self._save()
+
+        try:
+            from services.mesh.mesh_rns import rns_bridge
+
+            rns_bridge.publish_event(event_dict)
+        except Exception:
+            pass
+        _notify_public_event_append_hooks(event_dict)
+
+        logger.info(
+            f"Infonet append [gate_message] by {_redact_node(node_id)} seq={sequence} "
+            f"id={event.event_id[:16]}..."
+        )
+        return event_dict
+
     def append(
         self,
         event_type: str,
@@ -2078,6 +2412,18 @@ class Infonet:
             if not event_id or not prev_hash:
                 rejected.append({"index": idx, "reason": "Missing event_id or prev_hash"})
                 continue
+            if event_id in self.event_index:
+                duplicates += 1
+                continue
+            if self._replay_filter.seen(event_id):
+                try:
+                    from services.mesh.mesh_metrics import increment as metrics_inc
+
+                    metrics_inc("ingest_replay_seen")
+                except Exception:
+                    pass
+                duplicates += 1
+                continue
             if prev_hash != expected_prev:
                 try:
                     from services.mesh.mesh_metrics import increment as metrics_inc
@@ -2096,25 +2442,14 @@ class Infonet:
                     pass
                 rejected.append({"index": idx, "reason": "network_id mismatch"})
                 continue
-            if event_id in self.event_index:
-                duplicates += 1
-                continue
-            if self._replay_filter.seen(event_id):
-                try:
-                    from services.mesh.mesh_metrics import increment as metrics_inc
-
-                    metrics_inc("ingest_replay_seen")
-                except Exception:
-                    pass
-                duplicates += 1
-                continue
             if prev_hash != self.head_hash:
                 rejected.append({"index": idx, "reason": "prev_hash does not match head"})
                 continue
             if sequence <= 0:
                 rejected.append({"index": idx, "reason": "Invalid sequence"})
                 continue
-            last = self.node_sequences.get(node_id, 0)
+            sequence_table, sequence_key = self._sequence_table_for_event(event_type, node_id)
+            last = sequence_table.get(sequence_key, 0)
             if sequence <= last:
                 rejected.append({"index": idx, "reason": "Replay detected"})
                 continue
@@ -2149,7 +2484,18 @@ class Infonet:
             if not ok:
                 rejected.append({"index": idx, "reason": reason})
                 continue
-            ok, reason = validate_public_ledger_payload(event_type, payload)
+            if event_type == "gate_message":
+                ok, reason = validate_private_gate_ledger_payload(payload)
+            elif event_type == "dm_message":
+                ok, reason = validate_private_dm_ledger_payload(payload)
+                if ok:
+                    total_count, sender_count = self._dm_spool_active_counts(payload, sender_id=str(evt.get("node_id", "") or ""))
+                    if sender_count >= DM_HASHCHAIN_SPOOL_SENDER_LIMIT:
+                        ok, reason = False, "DM hashchain sender spool full for recipient"
+                    elif total_count >= DM_HASHCHAIN_SPOOL_LIMIT:
+                        ok, reason = False, "DM hashchain spool full for recipient"
+            else:
+                ok, reason = validate_public_ledger_payload(event_type, payload)
             if not ok:
                 rejected.append({"index": idx, "reason": reason})
                 continue
@@ -2225,7 +2571,7 @@ class Infonet:
                     pass
                 rejected.append({"index": idx, "reason": "public key is revoked"})
                 continue
-            last_seq = self.node_sequences.get(node_id, 0)
+            last_seq = sequence_table.get(sequence_key, 0)
             if sequence <= last_seq:
                 try:
                     from services.mesh.mesh_metrics import increment as metrics_inc
@@ -2261,18 +2607,30 @@ class Infonet:
                 rejected.append({"index": idx, "reason": bind_reason})
                 continue
 
-            sig_payload = build_signature_payload(
-                event_type=event_type,
-                node_id=node_id,
-                sequence=sequence,
-                payload=payload,
-            )
-            if not verify_signature(
-                public_key_b64=public_key,
-                public_key_algo=public_key_algo,
-                signature_hex=signature,
-                payload=sig_payload,
-            ):
+            if event_type == "gate_message":
+                signature_payloads = _private_gate_signature_payload_variants(
+                    str(payload.get("gate", "") or ""),
+                    evt,
+                )
+            else:
+                signature_payloads = [payload]
+            signature_ok = False
+            for signature_payload in signature_payloads:
+                sig_payload = build_signature_payload(
+                    event_type=event_type,
+                    node_id=node_id,
+                    sequence=sequence,
+                    payload=signature_payload,
+                )
+                if verify_signature(
+                    public_key_b64=public_key,
+                    public_key_algo=public_key_algo,
+                    signature_hex=signature,
+                    payload=sig_payload,
+                ):
+                    signature_ok = True
+                    break
+            if not signature_ok:
                 try:
                     from services.mesh.mesh_metrics import increment as metrics_inc
 
@@ -2302,7 +2660,7 @@ class Infonet:
             self.events.append(evt)
             self.event_index[event_id] = len(self.events) - 1
             self.head_hash = event_id
-            self.node_sequences[node_id] = sequence
+            sequence_table[sequence_key] = sequence
             self._update_counters_for_event(evt)
             accepted += 1
             expected_prev = event_id
@@ -2365,6 +2723,7 @@ class Infonet:
                     verify_node_binding,
                 )
 
+                event_type = evt_dict.get("event_type", "")
                 node_id = evt_dict.get("node_id", "")
                 if not parse_public_key_algo(public_key_algo):
                     return False, f"Unsupported public_key_algo at index {i}"
@@ -2375,21 +2734,41 @@ class Infonet:
                     return False, f"public key binding conflict at index {i}"
                 seen_public_keys[public_key] = node_id
 
-                normalized = normalize_payload(
-                    evt_dict.get("event_type", ""), evt_dict.get("payload", {})
-                )
-                sig_payload = build_signature_payload(
-                    event_type=evt_dict.get("event_type", ""),
-                    node_id=node_id,
-                    sequence=_safe_int(evt_dict.get("sequence", 0) or 0, 0),
-                    payload=normalized,
-                )
-                if not verify_signature(
-                    public_key_b64=public_key,
-                    public_key_algo=public_key_algo,
-                    signature_hex=signature,
-                    payload=sig_payload,
-                ):
+                payload = evt_dict.get("payload", {})
+                if event_type == "gate_message":
+                    ok, reason = validate_private_gate_ledger_payload(payload)
+                    if not ok:
+                        return False, f"Invalid gate_message payload at index {i}: {reason}"
+                    signature_payloads = _private_gate_signature_payload_variants(
+                        str(payload.get("gate", "") or ""),
+                        evt_dict,
+                    )
+                elif event_type == "dm_message":
+                    ok, reason = validate_private_dm_ledger_payload(payload)
+                    if not ok:
+                        return False, f"Invalid dm_message payload at index {i}: {reason}"
+                    signature_payloads = [normalize_payload(event_type, payload)]
+                else:
+                    signature_payloads = [
+                        normalize_payload(event_type, payload)
+                    ]
+                signature_ok = False
+                for signature_payload in signature_payloads:
+                    sig_payload = build_signature_payload(
+                        event_type=event_type,
+                        node_id=node_id,
+                        sequence=_safe_int(evt_dict.get("sequence", 0) or 0, 0),
+                        payload=signature_payload,
+                    )
+                    if verify_signature(
+                        public_key_b64=public_key,
+                        public_key_algo=public_key_algo,
+                        signature_hex=signature,
+                        payload=sig_payload,
+                    ):
+                        signature_ok = True
+                        break
+                if not signature_ok:
                     return False, f"Invalid signature at index {i}"
 
             prev = evt_dict["event_id"]
@@ -2454,27 +2833,48 @@ class Infonet:
                     verify_node_binding,
                 )
 
+                event_type = evt_dict.get("event_type", "")
                 node_id = evt_dict.get("node_id", "")
                 if not parse_public_key_algo(public_key_algo):
                     return False, f"Unsupported public_key_algo at index {i}"
                 if not verify_node_binding(node_id, public_key):
                     return False, f"node_id mismatch at index {i}"
 
-                normalized = normalize_payload(
-                    evt_dict.get("event_type", ""), evt_dict.get("payload", {})
-                )
-                sig_payload = build_signature_payload(
-                    event_type=evt_dict.get("event_type", ""),
-                    node_id=node_id,
-                    sequence=_safe_int(evt_dict.get("sequence", 0) or 0, 0),
-                    payload=normalized,
-                )
-                if not verify_signature(
-                    public_key_b64=public_key,
-                    public_key_algo=public_key_algo,
-                    signature_hex=signature,
-                    payload=sig_payload,
-                ):
+                payload = evt_dict.get("payload", {})
+                if event_type == "gate_message":
+                    ok, reason = validate_private_gate_ledger_payload(payload)
+                    if not ok:
+                        return False, f"Invalid gate_message payload at index {i}: {reason}"
+                    signature_payloads = _private_gate_signature_payload_variants(
+                        str(payload.get("gate", "") or ""),
+                        evt_dict,
+                    )
+                elif event_type == "dm_message":
+                    ok, reason = validate_private_dm_ledger_payload(payload)
+                    if not ok:
+                        return False, f"Invalid dm_message payload at index {i}: {reason}"
+                    signature_payloads = [normalize_payload(event_type, payload)]
+                else:
+                    signature_payloads = [
+                        normalize_payload(event_type, payload)
+                    ]
+                signature_ok = False
+                for signature_payload in signature_payloads:
+                    sig_payload = build_signature_payload(
+                        event_type=event_type,
+                        node_id=node_id,
+                        sequence=_safe_int(evt_dict.get("sequence", 0) or 0, 0),
+                        payload=signature_payload,
+                    )
+                    if verify_signature(
+                        public_key_b64=public_key,
+                        public_key_algo=public_key_algo,
+                        signature_hex=signature,
+                        payload=sig_payload,
+                    ):
+                        signature_ok = True
+                        break
+                if not signature_ok:
                     return False, f"Invalid signature at index {i}"
             prev = evt_dict["event_id"]
 
@@ -2538,7 +2938,14 @@ class Infonet:
             node_id = evt.get("node_id", "")
             sequence = _safe_int(evt.get("sequence", 0) or 0, 0)
             if node_id and sequence:
-                last_seq[node_id] = max(last_seq.get(node_id, 0), sequence)
+                sequence_key = (
+                    f"{node_id}|gate_message"
+                    if str(evt.get("event_type", "") or "").strip().lower() == "gate_message"
+                    else f"{node_id}|dm_message"
+                    if str(evt.get("event_type", "") or "").strip().lower() == "dm_message"
+                    else node_id
+                )
+                last_seq[sequence_key] = max(last_seq.get(sequence_key, 0), sequence)
             public_key = str(evt.get("public_key", "") or "")
             if public_key and node_id:
                 seen_public_keys.setdefault(public_key, node_id)
@@ -2558,8 +2965,21 @@ class Infonet:
             existing_idx = self.event_index.get(event_id)
             if existing_idx is not None and existing_idx <= prev_index:
                 return False, "duplicate event_id"
-            payload = normalize_payload(event_type, dict(payload or {}))
+            if event_type == "gate_message":
+                payload = dict(payload or {})
+            elif event_type == "dm_message":
+                payload = normalize_payload(event_type, dict(payload or {}))
+            else:
+                payload = normalize_payload(event_type, dict(payload or {}))
             ok, reason = validate_event_payload(event_type, payload)
+            if not ok:
+                return False, reason
+            if event_type == "gate_message":
+                ok, reason = validate_private_gate_ledger_payload(payload)
+            elif event_type == "dm_message":
+                ok, reason = validate_private_dm_ledger_payload(payload)
+            else:
+                ok, reason = validate_public_ledger_payload(event_type, payload)
             if not ok:
                 return False, reason
             proto = evt.get("protocol_version") or PROTOCOL_VERSION
@@ -2573,7 +2993,14 @@ class Infonet:
             revoked, _info = self._revocation_status(public_key)
             if revoked and event_type != "key_revoke":
                 return False, "public key revoked"
-            last = last_seq.get(node_id, 0)
+            sequence_key = (
+                f"{node_id}|gate_message"
+                if event_type == "gate_message"
+                else f"{node_id}|dm_message"
+                if event_type == "dm_message"
+                else node_id
+            )
+            last = last_seq.get(sequence_key, 0)
             if sequence <= last:
                 return False, "sequence replay"
             from services.mesh.mesh_crypto import (
@@ -2591,23 +3018,35 @@ class Infonet:
             if existing and existing != node_id:
                 return False, "public key binding conflict"
             seen_public_keys[public_key] = node_id
-            sig_payload = build_signature_payload(
-                event_type=event_type,
-                node_id=node_id,
-                sequence=sequence,
-                payload=payload,
-            )
-            if not verify_signature(
-                public_key_b64=public_key,
-                public_key_algo=public_key_algo,
-                signature_hex=signature,
-                payload=sig_payload,
-            ):
+            if event_type == "gate_message":
+                signature_payloads = _private_gate_signature_payload_variants(
+                    str(payload.get("gate", "") or ""),
+                    evt,
+                )
+            else:
+                signature_payloads = [payload]
+            signature_ok = False
+            for signature_payload in signature_payloads:
+                sig_payload = build_signature_payload(
+                    event_type=event_type,
+                    node_id=node_id,
+                    sequence=sequence,
+                    payload=signature_payload,
+                )
+                if verify_signature(
+                    public_key_b64=public_key,
+                    public_key_algo=public_key_algo,
+                    signature_hex=signature,
+                    payload=sig_payload,
+                ):
+                    signature_ok = True
+                    break
+            if not signature_ok:
                 return False, "invalid signature"
             computed = ChainEvent.from_dict(evt).event_id
             if computed != event_id:
                 return False, "event_id mismatch"
-            last_seq[node_id] = sequence
+            last_seq[sequence_key] = sequence
 
         # Apply fork
         self.events = prefix + ordered

backend/services/mesh/mesh_infonet_sync_support.py

@@ -2,10 +2,64 @@ from __future__ import annotations
 
 import time
 from dataclasses import asdict, dataclass
+from email.utils import parsedate_to_datetime
+from datetime import timezone
 
 from services.mesh.mesh_peer_store import PeerRecord
 
 
+class PeerSyncRateLimited(Exception):
+    """Upstream peer returned HTTP 429 — Too Many Requests.
+
+    Carries the ``Retry-After`` header value (parsed to seconds) so
+    the caller can pass it to ``finish_sync(retry_after_s=...)`` and
+    actually wait that long instead of hammering the upstream every
+    60s and keeping its rate-limit bucket full.
+
+    ``retry_after_s`` is 0 when the upstream didn't provide a header.
+    Caller should still apply the exponential backoff in that case.
+    """
+
+    def __init__(self, message: str, retry_after_s: int = 0, status: int = 429):
+        super().__init__(message)
+        self.retry_after_s = max(0, int(retry_after_s or 0))
+        self.status = int(status or 429)
+
+
+def parse_retry_after_header(header_value: str, *, now: float | None = None) -> int:
+    """Parse the ``Retry-After`` HTTP header.
+
+    Two valid forms per RFC 7231 §7.1.3:
+
+      * Delay-seconds: a non-negative integer (e.g. ``Retry-After: 120``)
+      * HTTP-date: an absolute time (e.g. ``Retry-After: Wed, 21 Oct 2026 07:28:00 GMT``)
+
+    Returns the wait in **seconds from now**. Unparseable / empty headers
+    return 0 (caller falls back to exponential backoff). Clamped at a
+    sane upper bound (1 hour) so a typo'd or hostile peer can't pin us
+    silent for days.
+    """
+    value = str(header_value or "").strip()
+    if not value:
+        return 0
+    upper_bound = 3600  # never trust a peer to silence us > 1h
+    # Form 1: pure integer seconds.
+    if value.isdigit():
+        return min(max(0, int(value)), upper_bound)
+    # Form 2: HTTP-date.
+    try:
+        target = parsedate_to_datetime(value)
+        if target is None:
+            return 0
+        if target.tzinfo is None:
+            target = target.replace(tzinfo=timezone.utc)
+        current = float(now if now is not None else time.time())
+        delta = int(target.timestamp() - current)
+        return min(max(0, delta), upper_bound)
+    except (TypeError, ValueError):
+        return 0
+
+
 @dataclass(frozen=True)
 class SyncWorkerState:
     last_sync_started_at: int = 0
@@ -72,6 +126,59 @@ def begin_sync(
     )
 
 
+def _failure_backoff_seconds(
+    *,
+    base_backoff_s: int,
+    consecutive_failures: int,
+    retry_after_s: int,
+    cap_s: int = 1800,
+) -> int:
+    """Compute the next-attempt delay after a failed sync.
+
+    Two inputs combine:
+
+    * ``retry_after_s`` — when an upstream peer answered HTTP 429
+      with a ``Retry-After`` header, we honor it exactly. Continuing
+      to hammer the upstream every 60s is the bug this fix exists to
+      close: it keeps the upstream's rate-limit bucket full
+      indefinitely and no sync ever lands.
+
+    * Exponential growth on ``consecutive_failures`` — even without an
+      explicit Retry-After, repeated failures should slow us down. The
+      first failure waits ``base`` (preserves pre-fix behavior for
+      one-off blips). Each subsequent failure doubles the wait, capped
+      to ``cap_s`` (default 30 minutes). With base=60 and cap=1800,
+      the schedule is 60s → 120s → 240s → 480s → 960s → 1800s →
+      1800s → … .
+
+    The actual delay is the MAX of the two — whichever asks for more
+    patience wins. ``retry_after_s == 0`` (no header) falls back to
+    pure exponential. An aggressive ``Retry-After`` (say 600s while
+    we're only at 1 failure) wins over the exponential ladder.
+    """
+    base = max(0, int(base_backoff_s or 0))
+    failures = max(0, int(consecutive_failures or 0))
+    cap = max(0, int(cap_s or 0))
+    retry_after = max(0, int(retry_after_s or 0))
+    # ``cap_s=0`` explicitly disables the exponential ladder entirely
+    # — operators who want the pre-fix "honor Retry-After only" behavior
+    # can set this. The default cap of 1800s is what saturates the
+    # ladder at the 5th-6th failure for base=60.
+    if cap == 0:
+        return retry_after
+    # 2^(failures-1) — so failure #1 = base (preserves the pre-fix
+    # default for transient blips), failure #2 = 2*base, etc. Cap on
+    # the exponent (16) is defense against integer overflow on a
+    # hostile or very large failures counter.
+    if base > 0 and failures > 0:
+        exponent = min(max(0, failures - 1), 16)
+        grown = base * (2 ** exponent)
+    else:
+        grown = 0
+    exponential = min(max(0, grown), cap)
+    return max(exponential, retry_after)
+
+
 def finish_sync(
     state: SyncWorkerState,
     *,
@@ -83,7 +190,26 @@ def finish_sync(
     now: float | None = None,
     interval_s: int = 300,
     failure_backoff_s: int = 60,
+    retry_after_s: int = 0,
+    failure_backoff_cap_s: int = 1800,
 ) -> SyncWorkerState:
+    """Finalise a sync attempt and compute when the next one should run.
+
+    New args (added for the 429 retry storm fix):
+
+    * ``retry_after_s`` — if the peer responded with HTTP 429 + a
+      ``Retry-After`` header, pass that value here. ``finish_sync``
+      will use ``max(exponential, retry_after_s)`` for the delay so
+      we never hammer a peer that asked us to back off.
+    * ``failure_backoff_cap_s`` — upper bound on the exponential
+      ladder. Default 1800 (30 min) — keeps a sync queue from going
+      silent for hours while still cutting the request rate to
+      something the upstream can absorb.
+
+    The pre-fix behavior (constant 60s on every failure) is recoverable
+    by passing ``failure_backoff_cap_s=0`` and ``retry_after_s=0``, but
+    there's no reason to.
+    """
     timestamp = int(now if now is not None else time.time())
     if ok:
         return SyncWorkerState(
@@ -99,17 +225,25 @@ def finish_sync(
             consecutive_failures=0,
         )
 
+    next_failures = state.consecutive_failures + 1
+    delay_s = _failure_backoff_seconds(
+        base_backoff_s=failure_backoff_s,
+        consecutive_failures=next_failures,
+        retry_after_s=retry_after_s,
+        cap_s=failure_backoff_cap_s,
+    )
+
     return SyncWorkerState(
         last_sync_started_at=state.last_sync_started_at,
         last_sync_finished_at=timestamp,
         last_sync_ok_at=state.last_sync_ok_at,
-        next_sync_due_at=timestamp + max(0, int(failure_backoff_s or 0)),
+        next_sync_due_at=timestamp + delay_s,
         last_peer_url=peer_url or state.last_peer_url,
         last_error=str(error or "").strip(),
         last_outcome="fork" if fork_detected else "error",
         current_head=current_head or state.current_head,
         fork_detected=bool(fork_detected),
-        consecutive_failures=state.consecutive_failures + 1,
+        consecutive_failures=next_failures,
     )
 
 
@@ -142,5 +276,6 @@ def should_run_sync(
 ) -> bool:
     current_time = int(now if now is not None else time.time())
     if state.last_outcome == "running":
-        return False
+        started_at = int(state.last_sync_started_at or 0)
+        return started_at <= 0 or current_time - started_at >= 300
     return int(state.next_sync_due_at or 0) <= current_time

backend/services/mesh/mesh_schema.py

@@ -2,6 +2,9 @@
 
 from __future__ import annotations
 
+import base64
+import binascii
+import math
 from dataclasses import dataclass
 from typing import Any, Callable
 
@@ -33,6 +36,58 @@ def _require_fields(payload: dict[str, Any], fields: tuple[str, ...]) -> tuple[b
     return True, "ok"
 
 
+def _decode_base64ish(value: Any) -> bytes | None:
+    raw = str(value or "").strip()
+    if not raw or any(ch.isspace() for ch in raw):
+        return None
+    padded = raw + ("=" * (-len(raw) % 4))
+    for altchars in (None, b"-_"):
+        try:
+            return base64.b64decode(padded.encode("ascii"), altchars=altchars, validate=True)
+        except (binascii.Error, UnicodeEncodeError, ValueError):
+            continue
+    return None
+
+
+def _byte_entropy(data: bytes) -> float:
+    if not data:
+        return 0.0
+    counts = [0] * 256
+    for byte in data:
+        counts[byte] += 1
+    total = float(len(data))
+    return -sum((count / total) * math.log2(count / total) for count in counts if count)
+
+
+def _validate_sealed_bytes_field(
+    payload: dict[str, Any],
+    field: str,
+    *,
+    min_bytes: int = 8,
+    entropy_floor: float = 2.5,
+) -> tuple[bool, str]:
+    data = _decode_base64ish(payload.get(field, ""))
+    if data is None:
+        return False, f"{field} must be base64-encoded sealed bytes"
+    if len(data) < min_bytes:
+        return False, f"{field} is too short"
+
+    # Short test vectors and compact envelopes can be low entropy; only apply
+    # heuristics once there is enough material to distinguish a sealed blob
+    # from accidental base64-encoded plaintext.
+    if len(data) >= 32:
+        printable = sum(1 for byte in data if 32 <= byte <= 126 or byte in (9, 10, 13))
+        if printable / len(data) > 0.9:
+            try:
+                data.decode("utf-8")
+                return False, f"{field} looks like encoded plaintext"
+            except UnicodeDecodeError:
+                pass
+        if _byte_entropy(data) < entropy_floor:
+            return False, f"{field} entropy is too low for sealed bytes"
+    return True, "ok"
+
+
 def _validate_message(payload: dict[str, Any]) -> tuple[bool, str]:
     ok, reason = _require_fields(
         payload, ("message", "destination", "channel", "priority", "ephemeral")
@@ -331,6 +386,7 @@ ACTIVE_PUBLIC_LEDGER_EVENT_TYPES: frozenset[str] = frozenset(
 LEGACY_PUBLIC_LEDGER_EVENT_TYPES: frozenset[str] = frozenset(
     {
         "gate_message",
+        "dm_message",
     }
 )
 """Event types that exist historically on the public chain and must remain
@@ -425,6 +481,8 @@ def validate_event_payload(event_type: str, payload: dict[str, Any]) -> tuple[bo
 
 
 def validate_public_ledger_payload(event_type: str, payload: dict[str, Any]) -> tuple[bool, str]:
+    if event_type == "gate_message":
+        return validate_private_gate_ledger_payload(payload)
     if event_type not in PUBLIC_LEDGER_EVENT_TYPES and event_type not in _EXTENSION_VALIDATORS:
         return False, f"{event_type} is not allowed on the public ledger"
     forbidden = sorted(
@@ -441,6 +499,92 @@ def validate_public_ledger_payload(event_type: str, payload: dict[str, Any]) ->
     return True, "ok"
 
 
+_PRIVATE_GATE_LEDGER_ALLOWED_FIELDS: frozenset[str] = frozenset(
+    {
+        "gate",
+        "ciphertext",
+        "nonce",
+        "sender_ref",
+        "format",
+        "epoch",
+        "gate_envelope",
+        "envelope_hash",
+        "reply_to",
+        "transport_lock",
+        "signed_context",
+    }
+)
+
+
+def validate_private_gate_ledger_payload(payload: dict[str, Any]) -> tuple[bool, str]:
+    """Validate ciphertext-only gate events for private Infonet replication."""
+    ok, reason = validate_event_payload("gate_message", payload)
+    if not ok:
+        return ok, reason
+    unexpected = sorted(
+        key
+        for key in payload.keys()
+        if str(key or "").strip().lower() not in _PRIVATE_GATE_LEDGER_ALLOWED_FIELDS
+    )
+    if unexpected:
+        return False, f"private gate ledger payload contains unsupported fields: {', '.join(unexpected)}"
+    if "message" in payload or "_local_plaintext" in payload or "_local_reply_to" in payload:
+        return False, "private gate ledger payload must not contain plaintext"
+    transport_lock = str(payload.get("transport_lock", "") or "").strip().lower()
+    if transport_lock and transport_lock not in {"private", "private_strong", "rns", "onion"}:
+        return False, "gate messages require private transport_lock"
+    ok, reason = _validate_sealed_bytes_field(payload, "ciphertext")
+    if not ok:
+        return ok, reason
+    ok, reason = _validate_sealed_bytes_field(payload, "nonce")
+    if not ok:
+        return ok, reason
+    return True, "ok"
+
+
+_PRIVATE_DM_LEDGER_ALLOWED_FIELDS: frozenset[str] = frozenset(
+    {
+        "recipient_id",
+        "delivery_class",
+        "recipient_token",
+        "ciphertext",
+        "msg_id",
+        "timestamp",
+        "format",
+        "session_welcome",
+        "sender_seal",
+        "relay_salt",
+        "transport_lock",
+        "signed_context",
+    }
+)
+
+
+def validate_private_dm_ledger_payload(payload: dict[str, Any]) -> tuple[bool, str]:
+    """Validate ciphertext-only DM dead-drop events for private Infonet replication."""
+    ok, reason = validate_event_payload("dm_message", payload)
+    if not ok:
+        return ok, reason
+    unexpected = sorted(
+        key
+        for key in payload.keys()
+        if str(key or "").strip().lower() not in _PRIVATE_DM_LEDGER_ALLOWED_FIELDS
+    )
+    if unexpected:
+        return False, f"private DM ledger payload contains unsupported fields: {', '.join(unexpected)}"
+    if "message" in payload or "plaintext" in payload or "_local_plaintext" in payload:
+        return False, "private DM ledger payload must not contain plaintext"
+    transport_lock = str(payload.get("transport_lock", "") or "").strip().lower()
+    if transport_lock != "private_strong":
+        return False, "DM hashchain spool requires private_strong transport_lock"
+    if not str(payload.get("ciphertext", "") or "").strip():
+        return False, "ciphertext cannot be empty"
+    ok, reason = _validate_sealed_bytes_field(payload, "ciphertext")
+    if not ok:
+        return ok, reason
+    return True, "ok"
+
+
 def validate_protocol_fields(protocol_version: str, network_id: str) -> tuple[bool, str]:
     if protocol_version != PROTOCOL_VERSION:
         return False, "Unsupported protocol_version"

backend/services/mesh/mesh_signed_events.py

@@ -38,6 +38,11 @@ _REVOCATION_TTL_CACHE: dict[str, dict[str, Any]] = {}
 _REVOCATION_TTL_LOCK = threading.Lock()
 _REVOCATION_REFRESH_LOCK = threading.Lock()
 _REVOCATION_REFRESH_FAIL_FAST_WINDOW_S = 5.0
+
+
+def _request_scope_path(request: Request) -> str:
+    scope = getattr(request, "scope", {}) or {}
+    return str(scope.get("path") or "")
 _REVOCATION_REFRESH_RETRY_AFTER_S = 5
 _REVOCATION_PRECHECK_UNAVAILABLE_DETAIL = "Signed event integrity preflight unavailable"
 
@@ -166,7 +171,7 @@ def _canonical_signed_write_retry_payload(
     signed_context = build_signed_context(
         event_type=prepared.event_type,
         kind=prepared.kind.value,
-        endpoint=str(request.url.path or ""),
+        endpoint=_request_scope_path(request),
         lane_floor=_content_private_required_transport_tier(prepared.kind),
         sequence_domain=_signed_context_sequence_domain(prepared),
         node_id=prepared.node_id,
@@ -540,7 +545,7 @@ def _apply_signed_context_policy(prepared: "PreparedSignedWrite", request: Reque
     ok, reason = validate_signed_context(
         event_type=prepared.event_type,
         kind=prepared.kind.value,
-        endpoint=str(request.url.path or ""),
+        endpoint=_request_scope_path(request),
         lane_floor=_content_private_required_transport_tier(prepared.kind),
         sequence_domain=_signed_context_sequence_domain(prepared),
         node_id=prepared.node_id,

backend/services/mesh/mesh_wormhole_prekey.py

@@ -234,12 +234,12 @@ def _fetch_dm_prekey_bundle_from_public_lookup(lookup_token: str) -> dict[str, A
         # Generic UA: any peer-facing crypto request should not carry a
         # fork-specific identifier — that turns prekey lookups into a
         # software-fingerprinting beacon.
-        from services.network_utils import DEFAULT_USER_AGENT
+        from services.network_utils import default_user_agent
         request = urllib.request.Request(
             f"{normalized_peer_url}/api/mesh/dm/prekey-bundle?{encoded}",
             headers={
                 "Accept": "application/json",
-                "User-Agent": DEFAULT_USER_AGENT,
+                "User-Agent": default_user_agent(),
             },
             method="GET",
         )

backend/services/network_utils.py

@@ -34,9 +34,9 @@ _session.mount("http://", HTTPAdapter(max_retries=_retry, pool_maxsize=10))
 # upstream's only recourse was to block "Shadowbroker" as a whole — which
 # would take out every other install too.
 #
-# Fix: give each install a stable pseudonymous handle and include it in
-# the User-Agent. Now an upstream can rate-limit or block the offending
-# operator without affecting anyone else.
+# Fix: give each install a stable pseudonymous handle used as the entire
+# User-Agent product token (no shared "Shadowbroker" label). Upstreams see
+# ``operator-7f3a92`` (or ``OPERATOR_HANDLE``), not one monolithic app name.
 #
 # The handle:
 #
@@ -51,7 +51,6 @@ _session.mount("http://", HTTPAdapter(max_retries=_retry, pool_maxsize=10))
 # - Is NEVER mixed into mesh / Wormhole / Infonet identity. This layer is
 #   strictly for public third-party API attribution.
 
-_SHADOWBROKER_VERSION = "0.9"
 _OPERATOR_HANDLE_FILE = (
     Path(__file__).parent.parent / "data" / "operator_handle.json"
 )
@@ -146,7 +145,12 @@ def get_operator_handle() -> str:
         # 3. On-disk handle from a previous run.
         persisted = _load_persisted_operator_handle()
         if persisted:
-            _OPERATOR_HANDLE_CACHE = _normalize_handle(persisted)
+            normalized = _normalize_handle(persisted)
+            # Migrate legacy auto-generated handles (pre-Round-7a ``shadow-`` prefix).
+            if normalized.startswith("shadow-"):
+                normalized = f"operator-{normalized[len('shadow-'):]}"
+                _persist_operator_handle(normalized)
+            _OPERATOR_HANDLE_CACHE = normalized
             return _OPERATOR_HANDLE_CACHE
 
         # 4. Generate, persist, return.
@@ -170,41 +174,21 @@ def _normalize_handle(raw: str) -> str:
     return safe[:48] if safe else "anonymous"
 
 
-_CONTACT_URL = "https://github.com/BigBodyCobain/Shadowbroker/issues"
-
-
 def outbound_user_agent(purpose: str = "") -> str:
     """Build a User-Agent for an outbound third-party HTTP request.
 
-    Returns something like::
+    Returns the per-install handle only, e.g. ``operator-7f3a92`` or
+    ``operator-7f3a92 (purpose: wikipedia)``. No shared project name — so
+    upstream abuse teams cannot block every install with one ``Shadowbroker``
+    rule.
 
-        Shadowbroker/0.9 (operator: shadow-7f3a92; purpose: wikipedia;
-         +https://github.com/BigBodyCobain/Shadowbroker/issues)
-
-    The ``purpose`` is optional but recommended — it tells the upstream
-    what feature of ours is making the call (``wikipedia``, ``openmhz``,
-    ``nominatim``, etc.), which makes their logs and our complaints
-    actionable.
-
-    Every outbound call in the backend that previously sent a custom
-    User-Agent should call this helper instead. Centralizing here means:
-      - one place to change the contact URL,
-      - one place to bump the version on release,
-      - one place a Wikimedia / OpenMHz operator can reach to ask for
-        the project to back off, with a per-install handle so they can
-        target the specific install instead of the project as a whole.
+    Set ``SHADOWBROKER_USER_AGENT`` to override the entire string if needed.
     """
     handle = get_operator_handle()
     if purpose:
         purpose_clean = _normalize_handle(purpose)
-        return (
-            f"Shadowbroker/{_SHADOWBROKER_VERSION} "
-            f"(operator: {handle}; purpose: {purpose_clean}; +{_CONTACT_URL})"
-        )
-    return (
-        f"Shadowbroker/{_SHADOWBROKER_VERSION} "
-        f"(operator: {handle}; +{_CONTACT_URL})"
-    )
+        return f"{handle} (purpose: {purpose_clean})"
+    return handle
 
 
 def _reset_operator_handle_cache_for_tests() -> None:
@@ -215,19 +199,13 @@ def _reset_operator_handle_cache_for_tests() -> None:
         _OPERATOR_HANDLE_CACHE = ""
 
 
-# Default outbound User-Agent. Retained for backwards compatibility with
-# call sites that haven't been migrated to ``outbound_user_agent()`` yet.
-# Operators who want full per-install attribution should set the
-# ``OPERATOR_HANDLE`` setting and migrate call sites incrementally.
-#
-# Operators who run a public-facing relay can also override the whole UA
-# string via the ``SHADOWBROKER_USER_AGENT`` env var. That override
-# completely bypasses the per-operator helper; only use it if you know
-# what you're doing.
-DEFAULT_USER_AGENT = os.environ.get(
-    "SHADOWBROKER_USER_AGENT",
-    f"Shadowbroker/{_SHADOWBROKER_VERSION}",
-)
+def default_user_agent() -> str:
+    """Default User-Agent for ``fetch_with_curl`` and legacy call sites."""
+    custom = (os.environ.get("SHADOWBROKER_USER_AGENT") or "").strip()
+    if custom:
+        return custom
+    return outbound_user_agent()
+
 
 # Find bash for curl fallback — Git bash's curl has the TLS features
 # needed to pass CDN fingerprint checks (brotli, zstd, libpsl)
@@ -283,7 +261,7 @@ def fetch_with_curl(url, method="GET", json_data=None, timeout=15, headers=None,
     both Python requests and the barebones Windows system curl.
     """
     default_headers = {
-        "User-Agent": DEFAULT_USER_AGENT,
+        "User-Agent": default_user_agent(),
     }
     if headers:
         default_headers.update(headers)

backend/services/news_feed_config.py

@@ -12,6 +12,8 @@ logger = logging.getLogger(__name__)
 CONFIG_PATH = Path(__file__).parent.parent / "config" / "news_feeds.json"
 MAX_FEEDS = 50
 _FEED_URL_REPLACEMENTS = {
+    "http://feeds.bbci.co.uk/news/world/rss.xml": "https://feeds.bbci.co.uk/news/world/rss.xml",
+    "http://www.news.cn/english/rss/worldrss.xml": "https://www.news.cn/english/rss/worldrss.xml",
     "https://www.channelnewsasia.com/rssfeed/8395986": "https://www.channelnewsasia.com/api/v1/rss-outbound-feed?_format=xml",
 }
 _DEAD_FEED_URLS = {
@@ -27,7 +29,7 @@ _DEAD_FEED_URLS = {
 
 DEFAULT_FEEDS = [
     {"name": "NPR", "url": "https://feeds.npr.org/1004/rss.xml", "weight": 4},
-    {"name": "BBC", "url": "http://feeds.bbci.co.uk/news/world/rss.xml", "weight": 3},
+    {"name": "BBC", "url": "https://feeds.bbci.co.uk/news/world/rss.xml", "weight": 3},
     {"name": "AlJazeera", "url": "https://www.aljazeera.com/xml/rss/all.xml", "weight": 2},
     {"name": "NYT", "url": "https://rss.nytimes.com/services/xml/rss/nyt/World.xml", "weight": 1},
     {"name": "GDACS", "url": "https://www.gdacs.org/xml/rss.xml", "weight": 5},
@@ -35,7 +37,7 @@ DEFAULT_FEEDS = [
     {"name": "Bellingcat", "url": "https://www.bellingcat.com/feed/", "weight": 4},
     {"name": "Guardian", "url": "https://www.theguardian.com/world/rss", "weight": 3},
     {"name": "TASS", "url": "https://tass.com/rss/v2.xml", "weight": 2},
-    {"name": "Xinhua", "url": "http://www.news.cn/english/rss/worldrss.xml", "weight": 2},
+    {"name": "Xinhua", "url": "https://www.news.cn/english/rss/worldrss.xml", "weight": 2},
     {"name": "CNA", "url": "https://www.channelnewsasia.com/api/v1/rss-outbound-feed?_format=xml", "weight": 3},
     {"name": "Mercopress", "url": "https://en.mercopress.com/rss/", "weight": 3},
     {"name": "SCMP", "url": "https://www.scmp.com/rss/91/feed", "weight": 4},

backend/services/openclaw_channel.py

@@ -83,6 +83,10 @@ READ_COMMANDS = frozenset({
     "sar_pin_click",
     # Analysis zones (OpenClaw map overlays)
     "list_analysis_zones",
+    # Recon / OSINT toolkit (server-side proxies, SSRF guarded)
+    "osint_lookup",
+    "osint_tools",
+    "entity_expand",
 })
 
 WRITE_COMMANDS = frozenset({
@@ -112,6 +116,8 @@ WRITE_COMMANDS = frozenset({
     "place_analysis_zone",
     "delete_analysis_zone",
     "clear_analysis_zones",
+    # Active recon (subnet device discovery)
+    "osint_sweep",
 })
 
 
@@ -780,6 +786,7 @@ def _dispatch_command(cmd: str, args: dict[str, Any]) -> dict[str, Any]:
             query=str(args.get("query", "") or ""),
             limit=args.get("limit", 10),
             include_gdelt=bool(args.get("include_gdelt", True)),
+            include_telegram=bool(args.get("include_telegram", True)),
         )
         if _wants_compact(args):
             return {"ok": True, "data": _compact_query_result(result), "format": "compressed_v1"}
@@ -846,6 +853,26 @@ def _dispatch_command(cmd: str, args: dict[str, Any]) -> dict[str, Any]:
             return {"ok": True, "data": _compact_query_result(result), "format": "compressed_v1"}
         return {"ok": True, "data": result}
 
+    if cmd == "osint_lookup":
+        from services.osint.openclaw_recon import run_osint_lookup
+        tool = str(args.get("tool", "") or args.get("lookup", "") or args.get("type", "") or "")
+        result = run_osint_lookup(tool, args)
+        return {"ok": True, "data": result, "tool": tool.strip().lower()}
+
+    if cmd == "osint_tools":
+        from services.osint.openclaw_recon import osint_tool_help
+        return {"ok": True, "data": osint_tool_help()}
+
+    if cmd == "osint_sweep":
+        from services.osint.openclaw_recon import run_osint_sweep
+        result = run_osint_sweep(args)
+        return {"ok": True, "data": result}
+
+    if cmd == "entity_expand":
+        from services.osint.openclaw_recon import run_entity_expand
+        result = run_entity_expand(args)
+        return {"ok": True, "data": result}
+
     if cmd == "get_report":
         from services.telemetry import get_cached_telemetry_refs, get_cached_slow_telemetry_refs
         fast = get_cached_telemetry_refs()

backend/services/osint/__init__.py

@@ -0,0 +1 @@
+"""Operator-initiated OSINT lookups (server-side proxies)."""

backend/services/osint/lookups.py

@@ -0,0 +1,492 @@
+"""Server-side OSINT lookups (Osiris port, HTTPS outbound only)."""
+from __future__ import annotations
+
+import ipaddress
+import json
+import logging
+import re
+import socket
+import time
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from datetime import datetime, timezone
+from typing import Any
+from urllib.parse import quote
+
+from services.network_utils import fetch_with_curl
+from services.sanctions.ofac import match_exact, search_sanctions
+from services.ssrf_guard import safe_get, validate_domain, validate_host
+
+logger = logging.getLogger(__name__)
+
+_IPV4_RE = re.compile(r"^(\d{1,3}\.){3}\d{1,3}$")
+_IPV6_RE = re.compile(r"^[0-9a-fA-F:]+$")
+_CVE_RE = re.compile(r"^CVE-\d{4}-\d{4,}$", re.I)
+_ASN_RE = re.compile(r"^(AS)?\d+$", re.I)
+
+
+def _now_iso() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+def _json_get(url: str, *, timeout: float = 8.0, headers: dict[str, str] | None = None) -> Any:
+    resp = fetch_with_curl(url, timeout=timeout, headers=headers or {"Accept": "application/json"})
+    if resp.status_code != 200:
+        return None
+    try:
+        return resp.json()
+    except Exception:
+        return None
+
+
+def _sanctions_hits(*values: str) -> list[dict[str, Any]] | None:
+    hits: list[dict[str, Any]] = []
+    seen: set[str] = set()
+    for value in values:
+        if not value or value in seen:
+            continue
+        seen.add(value)
+        entries = match_exact(value)
+        if entries:
+            hits.append({"matched_value": value, "entries": entries})
+    return hits or None
+
+
+def lookup_ip(ip: str) -> dict[str, Any]:
+    if not _IPV4_RE.match(ip) and not _IPV6_RE.match(ip):
+        raise ValueError("Invalid IP format")
+    check = validate_host(ip.strip("[]"))
+    if not check.get("ok"):
+        raise ValueError(check.get("reason", "blocked IP"))
+
+    results: dict[str, Any] = {"ip": ip, "timestamp": _now_iso()}
+    fields = (
+        "status,message,continent,country,countryCode,region,regionName,city,zip,"
+        "lat,lon,timezone,isp,org,as,asname,mobile,proxy,hosting,query"
+    )
+    geo = _json_get(f"https://ip-api.com/json/{quote(ip)}?fields={fields}", timeout=5)
+    if isinstance(geo, dict) and geo.get("status") == "success":
+        results["geo"] = {
+            "country": geo.get("country"),
+            "country_code": geo.get("countryCode"),
+            "region": geo.get("regionName"),
+            "city": geo.get("city"),
+            "lat": geo.get("lat"),
+            "lon": geo.get("lon"),
+            "timezone": geo.get("timezone"),
+            "isp": geo.get("isp"),
+            "org": geo.get("org"),
+            "as_number": geo.get("as"),
+            "as_name": geo.get("asname"),
+            "is_mobile": geo.get("mobile"),
+            "is_proxy": geo.get("proxy"),
+            "is_hosting": geo.get("hosting"),
+        }
+        results["reputation"] = {
+            "is_proxy": bool(geo.get("proxy")),
+            "is_hosting": bool(geo.get("hosting")),
+            "is_mobile": bool(geo.get("mobile")),
+            "risk_level": "HIGH" if geo.get("proxy") else "MEDIUM" if geo.get("hosting") else "LOW",
+        }
+        sm = _sanctions_hits(geo.get("org") or "", geo.get("isp") or "", geo.get("asname") or "")
+        if sm:
+            results["sanctions_match"] = {"source": "OFAC SDN", "hits": sm}
+    return results
+
+
+def lookup_dns(domain: str) -> dict[str, Any]:
+    if not validate_domain(domain):
+        raise ValueError("Invalid domain format")
+    results: dict[str, Any] = {"domain": domain, "records": {}, "timestamp": _now_iso()}
+    for rtype in ("A", "AAAA", "MX", "NS", "TXT", "CNAME", "SOA"):
+        data = _json_get(
+            f"https://dns.google/resolve?name={quote(domain)}&type={rtype}",
+            timeout=5,
+        )
+        answers = []
+        if isinstance(data, dict):
+            for ans in data.get("Answer") or []:
+                answers.append(
+                    {
+                        "name": ans.get("name"),
+                        "type": ans.get("type"),
+                        "ttl": ans.get("TTL"),
+                        "data": ans.get("data"),
+                    }
+                )
+        results["records"][rtype] = answers
+    a_records = results["records"].get("A") or []
+    mx_records = results["records"].get("MX") or []
+    ns_records = results["records"].get("NS") or []
+    results["summary"] = {
+        "ip_addresses": [r["data"] for r in a_records if r.get("data")],
+        "mail_servers": [r["data"] for r in mx_records if r.get("data")],
+        "nameservers": [r["data"] for r in ns_records if r.get("data")],
+        "total_records": sum(len(v) for v in results["records"].values()),
+    }
+    return results
+
+
+def lookup_whois(domain: str) -> dict[str, Any]:
+    if not validate_domain(domain):
+        raise ValueError("Invalid domain format")
+    results: dict[str, Any] = {"domain": domain, "timestamp": _now_iso()}
+    rdap = _json_get(f"https://rdap.org/domain/{quote(domain)}", timeout=8)
+    if isinstance(rdap, dict):
+        entities = []
+        for ent in rdap.get("entities") or []:
+            vcard = ent.get("vcardArray")
+            name = org = None
+            if isinstance(vcard, list) and len(vcard) > 1:
+                for row in vcard[1]:
+                    if row[0] == "fn":
+                        name = row[3]
+                    if row[0] == "org":
+                        org = row[3]
+            if name or org:
+                entities.append({"handle": ent.get("handle"), "roles": ent.get("roles"), "name": name, "org": org})
+        events = [
+            {"action": e.get("eventAction"), "date": e.get("eventDate")}
+            for e in (rdap.get("events") or [])
+        ]
+        results["rdap"] = {
+            "handle": rdap.get("handle"),
+            "name": rdap.get("ldhName"),
+            "status": rdap.get("status"),
+            "events": events,
+            "nameservers": [ns.get("ldhName") for ns in (rdap.get("nameservers") or [])],
+            "entities": entities,
+        }
+        results["registration"] = next((e["date"] for e in events if e["action"] == "registration"), None)
+        results["expiration"] = next((e["date"] for e in events if e["action"] == "expiration"), None)
+        results["last_changed"] = next((e["date"] for e in events if e["action"] == "last changed"), None)
+        sm = _sanctions_hits(*(e.get("name") or "" for e in entities), *(e.get("org") or "" for e in entities))
+        if sm:
+            results["sanctions_match"] = {"source": "OFAC SDN", "hits": sm}
+
+    try:
+        res = safe_get(f"https://{domain}", timeout=5, headers={"User-Agent": "Shadowbroker-OSINT/1.0"})
+        headers = {}
+        for h in (
+            "server",
+            "x-powered-by",
+            "x-frame-options",
+            "strict-transport-security",
+            "content-security-policy",
+            "x-content-type-options",
+            "x-xss-protection",
+            "referrer-policy",
+            "permissions-policy",
+        ):
+            val = res.headers.get(h)
+            if val:
+                headers[h] = val
+        score = sum(
+            1
+            for k in (
+                "strict-transport-security",
+                "content-security-policy",
+                "x-frame-options",
+                "x-content-type-options",
+                "referrer-policy",
+            )
+            if k in headers
+        ) + (2 if "strict-transport-security" in headers else 0) + (2 if "content-security-policy" in headers else 0)
+        results["http"] = {"status": res.status_code, "headers": headers, "final_url": res.url}
+        results["security_score"] = {
+            "score": score,
+            "max": 7,
+            "grade": "A" if score >= 5 else "B" if score >= 3 else "C" if score >= 1 else "F",
+        }
+    except Exception as exc:
+        logger.debug("WHOIS header probe failed for %s: %s", domain, exc)
+    return results
+
+
+def lookup_certs(domain: str) -> dict[str, Any]:
+    if not validate_domain(domain):
+        raise ValueError("Invalid domain format")
+    resp = fetch_with_curl(
+        f"https://crt.sh/?q=%25.{quote(domain)}&output=json",
+        timeout=10,
+        headers={"User-Agent": "Shadowbroker-OSINT/1.0"},
+    )
+    if resp.status_code != 200:
+        return {"domain": domain, "certificates": [], "error": "crt.sh unavailable"}
+    try:
+        certs = resp.json()
+    except Exception:
+        certs = []
+    seen: set[str] = set()
+    subdomains: set[str] = set()
+    unique: list[dict[str, Any]] = []
+    for cert in (certs or [])[:200]:
+        key = f"{cert.get('common_name')}-{cert.get('serial_number')}"
+        if key in seen:
+            continue
+        seen.add(key)
+        for name in (cert.get("name_value") or "").split("\n"):
+            clean = name.strip().replace("*.", "")
+            if clean.endswith(domain):
+                subdomains.add(clean)
+        unique.append(
+            {
+                "id": cert.get("id"),
+                "issuer": cert.get("issuer_name"),
+                "common_name": cert.get("common_name"),
+                "not_before": cert.get("not_before"),
+                "not_after": cert.get("not_after"),
+            }
+        )
+    return {
+        "domain": domain,
+        "certificates": unique[:50],
+        "subdomains": sorted(subdomains)[:100],
+        "total_found": len(certs or []),
+        "timestamp": _now_iso(),
+    }
+
+
+def lookup_threats(query: str | None = None) -> dict[str, Any]:
+    results: dict[str, Any] = {"timestamp": _now_iso()}
+    pulses = _json_get("https://otx.alienvault.com/api/v1/pulses/activity?limit=10", timeout=8)
+    if isinstance(pulses, dict):
+        results["pulses"] = [
+            {
+                "name": p.get("name"),
+                "description": (p.get("description") or "")[:200],
+                "created": p.get("created"),
+                "tags": (p.get("tags") or [])[:5],
+                "adversary": p.get("adversary"),
+                "indicators_count": p.get("indicator_count"),
+            }
+            for p in (pulses.get("results") or [])[:10]
+        ]
+    if query:
+        if _IPV4_RE.match(query):
+            try:
+                tor_resp = fetch_with_curl("https://check.torproject.org/torbulkexitlist", timeout=5)
+                results["tor_exit_node"] = query in (tor_resp.text or "").splitlines() if tor_resp.status_code == 200 else None
+            except Exception:
+                results["tor_exit_node"] = None
+            otx = _json_get(f"https://otx.alienvault.com/api/v1/indicators/IPv4/{quote(query)}/general", timeout=5)
+            if isinstance(otx, dict):
+                results["otx"] = {
+                    "reputation": otx.get("reputation"),
+                    "pulse_count": (otx.get("pulse_info") or {}).get("count", 0),
+                    "country": otx.get("country_name"),
+                    "asn": otx.get("asn"),
+                }
+        elif validate_domain(query):
+            otx = _json_get(f"https://otx.alienvault.com/api/v1/indicators/domain/{quote(query)}/general", timeout=5)
+            if isinstance(otx, dict):
+                results["otx"] = {"pulse_count": (otx.get("pulse_info") or {}).get("count", 0)}
+    pulse_count = (results.get("otx") or {}).get("pulse_count", 0)
+    results["threat_level"] = "HIGH" if pulse_count > 5 else "MEDIUM" if pulse_count > 0 else "LOW"
+    return results
+
+
+def lookup_bgp(query: str) -> dict[str, Any]:
+    results: dict[str, Any] = {"query": query, "timestamp": _now_iso()}
+    if _IPV4_RE.match(query):
+        data = _json_get(f"https://api.bgpview.io/ip/{quote(query)}", timeout=8)
+        if isinstance(data, dict) and data.get("status") == "ok":
+            results["ip"] = data.get("data")
+            results["type"] = "ip"
+        return results
+    if _ASN_RE.match(query):
+        asn_num = re.sub(r"^AS", "", query, flags=re.I)
+        asn = _json_get(f"https://api.bgpview.io/asn/{asn_num}", timeout=8)
+        prefixes = _json_get(f"https://api.bgpview.io/asn/{asn_num}/prefixes", timeout=8)
+        peers = _json_get(f"https://api.bgpview.io/asn/{asn_num}/peers", timeout=8)
+        if isinstance(asn, dict) and asn.get("status") == "ok":
+            results["asn"] = asn.get("data")
+        if isinstance(prefixes, dict) and prefixes.get("status") == "ok":
+            pdata = prefixes.get("data") or {}
+            results["prefixes"] = {
+                "ipv4": (pdata.get("ipv4_prefixes") or [])[:20],
+                "ipv6": (pdata.get("ipv6_prefixes") or [])[:10],
+                "total_v4": len(pdata.get("ipv4_prefixes") or []),
+                "total_v6": len(pdata.get("ipv6_prefixes") or []),
+            }
+        if isinstance(peers, dict) and peers.get("status") == "ok":
+            pdata = peers.get("data") or {}
+            results["peers"] = {
+                "upstream": (pdata.get("ipv4_peers") or [])[:10],
+                "total": len(pdata.get("ipv4_peers") or []),
+            }
+        results["type"] = "asn"
+        return results
+    raise ValueError("Unrecognized query format. Use IP address or AS number.")
+
+
+def lookup_sanctions(query: str, *, schema: str | None = None, limit: int = 25) -> dict[str, Any]:
+    matches = search_sanctions(query, schema=schema, limit=limit)
+    return {
+        "query": query,
+        "schema": schema,
+        "total": len(matches),
+        "matches": matches,
+        "source": "OpenSanctions / US OFAC SDN",
+        "timestamp": _now_iso(),
+    }
+
+
+def lookup_cve(cve: str) -> dict[str, Any]:
+    if not _CVE_RE.match(cve):
+        raise ValueError("Invalid CVE format")
+    cve_id = cve.upper()
+    data = _json_get(f"https://cveawg.mitre.org/api/cve/{quote(cve_id)}", timeout=8)
+    if isinstance(data, dict) and data.get("cveMetadata"):
+        meta = data["cveMetadata"]
+        desc = ""
+        for block in (data.get("containers") or {}).get("cna", {}).get("descriptions") or []:
+            if block.get("lang") == "en":
+                desc = block.get("value") or desc
+        return {"id": meta.get("cveId", cve_id), "description": desc or "No description.", "timestamp": _now_iso()}
+    fallback = _json_get(f"https://cve.circl.lu/api/cve/{quote(cve_id)}", timeout=8)
+    if isinstance(fallback, dict):
+        return {
+            "id": fallback.get("id", cve_id),
+            "description": fallback.get("summary") or "No description.",
+            "cvss": fallback.get("cvss"),
+            "references": (fallback.get("references") or [])[:5],
+            "timestamp": _now_iso(),
+        }
+    raise ValueError("CVE not found")
+
+
+def lookup_mac(mac: str) -> dict[str, Any]:
+    clean = mac.strip().upper()
+    clean = re.sub(r"[^A-F0-9:-]", "", clean)
+    data = _json_get(f"https://api.macvendors.com/{quote(clean)}", timeout=8)
+    if isinstance(data, dict):
+        return {"mac": clean, "vendor": data.get("company") or data.get("organization") or "Not Found"}
+    if isinstance(data, str) and data:
+        return {"mac": clean, "vendor": data}
+    return {"mac": clean, "vendor": "Not Found"}
+
+
+def lookup_github(username: str) -> dict[str, Any]:
+    user = _json_get(f"https://api.github.com/users/{quote(username)}", timeout=8)
+    if not isinstance(user, dict) or user.get("message") == "Not Found":
+        raise ValueError("GitHub user not found")
+    repos = _json_get(f"https://api.github.com/users/{quote(username)}/repos?per_page=10&sort=updated", timeout=8)
+    return {
+        "username": username,
+        "profile": {
+            "name": user.get("name"),
+            "bio": user.get("bio"),
+            "company": user.get("company"),
+            "location": user.get("location"),
+            "public_repos": user.get("public_repos"),
+            "followers": user.get("followers"),
+            "created_at": user.get("created_at"),
+            "html_url": user.get("html_url"),
+        },
+        "repos": [
+            {"name": r.get("name"), "language": r.get("language"), "stars": r.get("stargazers_count")}
+            for r in (repos or [])[:10]
+            if isinstance(r, dict)
+        ],
+        "timestamp": _now_iso(),
+    }
+
+
+def lookup_leaks(email: str) -> dict[str, Any]:
+    if "@" not in email or len(email) < 5:
+        raise ValueError("Invalid email")
+    # HIBP requires API key for v3; use public breach directory style via leak-lookup (rate limited)
+    data = _json_get(f"https://leakcheck.io/api/public?check={quote(email)}", timeout=8)
+    if isinstance(data, dict):
+        return {
+            "email": email,
+            "found": bool(data.get("found")),
+            "sources": data.get("sources") or [],
+            "timestamp": _now_iso(),
+        }
+    return {"email": email, "found": False, "sources": [], "timestamp": _now_iso()}
+
+
+def sweep_init(ip: str, cidr: int = 24) -> dict[str, Any]:
+    try:
+        addr = ipaddress.IPv4Address(ip)
+    except ValueError as exc:
+        raise ValueError("Invalid IPv4 address format") from exc
+    if addr.is_private or addr.is_loopback or addr.is_link_local or addr.is_reserved:
+        raise ValueError("Private and reserved IP ranges are not allowed")
+    if cidr < 24 or cidr > 32:
+        raise ValueError("CIDR must be between 24 and 32")
+
+    fields = "status,message,country,countryCode,region,regionName,city,lat,lon,isp,org,as,proxy,hosting"
+    geo = _json_get(f"https://ip-api.com/json/{quote(ip)}?fields={fields}", timeout=5)
+    if not isinstance(geo, dict) or geo.get("status") != "success":
+        raise ValueError(f"Geolocation failed: {(geo or {}).get('message', 'unknown')}")
+    return {
+        "center": {
+            "lat": geo.get("lat"),
+            "lng": geo.get("lon"),
+            "city": geo.get("city"),
+            "region": geo.get("regionName"),
+            "country": geo.get("country"),
+            "countryCode": geo.get("countryCode"),
+            "isp": geo.get("isp"),
+            "asn": geo.get("as") or "",
+            "org": geo.get("org") or "",
+        },
+        "target_ip": ip,
+        "cidr": cidr,
+    }
+
+
+def _internetdb_lookup(ip: str) -> dict[str, Any] | None:
+    try:
+        resp = fetch_with_curl(
+            f"https://internetdb.shodan.io/{quote(ip)}",
+            timeout=4,
+            headers={"Accept": "application/json"},
+        )
+        if resp.status_code == 404:
+            return None
+        if resp.status_code != 200:
+            return None
+        return resp.json()
+    except Exception:
+        return None
+
+
+def sweep_scan(subnet_start: str, cidr: int, *, max_workers: int = 12) -> dict[str, Any]:
+    """Scan a /24-/32 via Shodan InternetDB (server-side proxy)."""
+    base = int(ipaddress.IPv4Address(subnet_start))
+    host_count = 2 ** (32 - cidr)
+    if host_count > 256:
+        raise ValueError("Subnet too large")
+    ips = [str(ipaddress.IPv4Address(base + i)) for i in range(host_count)]
+    devices: list[dict[str, Any]] = []
+    t0 = time.time()
+    with ThreadPoolExecutor(max_workers=max_workers) as pool:
+        futures = {pool.submit(_internetdb_lookup, ip): ip for ip in ips}
+        for fut in as_completed(futures):
+            ip = futures[fut]
+            data = fut.result()
+            if not data:
+                continue
+            devices.append(
+                {
+                    "ip": data.get("ip") or ip,
+                    "ports": data.get("ports") or [],
+                    "hostnames": data.get("hostnames") or [],
+                    "cpes": data.get("cpes") or [],
+                    "vulns": data.get("vulns") or [],
+                    "tags": data.get("tags") or [],
+                }
+            )
+    return {
+        "devices": devices,
+        "summary": {"total_hosts": host_count, "total_responsive": len(devices)},
+        "sweep_time_ms": int((time.time() - t0) * 1000),
+    }
+
+
+def subnet_start_for(ip: str, cidr: int) -> str:
+    net = ipaddress.IPv4Network(f"{ip}/{cidr}", strict=False)
+    return str(net.network_address)

backend/services/osint/openclaw_recon.py

@@ -0,0 +1,135 @@
+"""OpenClaw dispatch for the operator recon / OSINT lookup toolkit."""
+from __future__ import annotations
+
+from typing import Any
+
+from services.osint import lookups
+from services.osint_intel.resolve import ALLOWED_TYPES, resolve_entity
+
+_OSINT_TOOLS: dict[str, str] = {
+    "ip": "ip",
+    "dns": "domain",
+    "whois": "domain",
+    "certs": "domain",
+    "threats": "query",
+    "bgp": "query",
+    "sanctions": "query",
+    "cve": "cve",
+    "mac": "mac",
+    "github": "username",
+    "leaks": "email",
+    "sweep_init": "ip",
+}
+
+_ENTITY_SCHEMAS = frozenset({
+    "Person",
+    "Organization",
+    "Company",
+    "Vessel",
+    "Airplane",
+    "LegalEntity",
+})
+
+
+def _require_str(args: dict[str, Any], *keys: str) -> str:
+    for key in keys:
+        value = str(args.get(key, "") or "").strip()
+        if value:
+            return value
+    joined = "/".join(keys)
+    raise ValueError(f"Missing required argument: {joined}")
+
+
+def run_osint_lookup(tool: str, args: dict[str, Any]) -> dict[str, Any]:
+    """Run a passive OSINT lookup (same backends as /api/osint/*)."""
+    name = str(tool or "").strip().lower().replace("-", "_")
+    if name not in _OSINT_TOOLS:
+        allowed = ", ".join(sorted(_OSINT_TOOLS))
+        raise ValueError(f"Unknown OSINT tool '{tool}'. Allowed: {allowed}")
+
+    if name == "ip":
+        return lookups.lookup_ip(_require_str(args, "ip", "query", "value"))
+    if name == "dns":
+        return lookups.lookup_dns(_require_str(args, "domain", "query", "value"))
+    if name == "whois":
+        return lookups.lookup_whois(_require_str(args, "domain", "query", "value"))
+    if name == "certs":
+        return lookups.lookup_certs(_require_str(args, "domain", "query", "value"))
+    if name == "threats":
+        query = str(args.get("query", "") or args.get("value", "") or "").strip() or None
+        return lookups.lookup_threats(query)
+    if name == "bgp":
+        return lookups.lookup_bgp(_require_str(args, "query", "asn", "value"))
+    if name == "sanctions":
+        query = _require_str(args, "query", "name", "value")
+        schema = str(args.get("schema", "") or "").strip() or None
+        if schema and schema not in _ENTITY_SCHEMAS:
+            allowed = ", ".join(sorted(_ENTITY_SCHEMAS))
+            raise ValueError(f"Invalid schema. Allowed: {allowed}")
+        limit = args.get("limit", 25)
+        try:
+            limit = int(limit)
+        except (TypeError, ValueError):
+            limit = 25
+        limit = max(1, min(100, limit))
+        return lookups.lookup_sanctions(query, schema=schema, limit=limit)
+    if name == "cve":
+        return lookups.lookup_cve(_require_str(args, "cve", "query", "value"))
+    if name == "mac":
+        return lookups.lookup_mac(_require_str(args, "mac", "query", "value"))
+    if name == "github":
+        return lookups.lookup_github(_require_str(args, "username", "user", "query", "value"))
+    if name == "leaks":
+        return lookups.lookup_leaks(_require_str(args, "email", "query", "value"))
+    if name == "sweep_init":
+        ip = _require_str(args, "ip", "query", "value")
+        cidr = args.get("cidr", 24)
+        try:
+            cidr = int(cidr)
+        except (TypeError, ValueError):
+            cidr = 24
+        return lookups.sweep_init(ip, cidr)
+
+    raise ValueError(f"Unhandled OSINT tool: {name}")
+
+
+def run_osint_sweep(args: dict[str, Any]) -> dict[str, Any]:
+    """Run subnet device discovery (Shodan InternetDB proxy). Requires full access tier."""
+    ip = _require_str(args, "ip", "query", "value")
+    cidr = args.get("cidr", 24)
+    try:
+        cidr = int(cidr)
+    except (TypeError, ValueError):
+        cidr = 24
+    subnet = lookups.subnet_start_for(ip, cidr)
+    scan = lookups.sweep_scan(subnet, cidr)
+    init = lookups.sweep_init(ip, cidr)
+    return {**init, **scan, "subnet": f"{subnet}/{cidr}"}
+
+
+def run_entity_expand(args: dict[str, Any]) -> dict[str, Any]:
+    """Expand an entity graph node (aircraft, vessel, IP, company, person, country)."""
+    entity_type = _require_str(args, "type", "entity_type")
+    entity_id = _require_str(args, "id", "entity_id", "query", "value")
+    props = {
+        "label": entity_id,
+        "registration": str(args.get("registration", "") or "").strip() or None,
+        "model": str(args.get("model", "") or "").strip() or None,
+        "icao24": str(args.get("icao24", "") or "").strip() or None,
+    }
+    props = {key: value for key, value in props.items() if value is not None}
+    return resolve_entity(entity_type, entity_id, props)
+
+
+def osint_tool_help() -> dict[str, Any]:
+    """Discovery metadata for agents."""
+    return {
+        "tools": sorted(_OSINT_TOOLS),
+        "entity_types": sorted(ALLOWED_TYPES),
+        "sanctions_schemas": sorted(_ENTITY_SCHEMAS),
+        "notes": {
+            "osint_lookup": "Passive lookups — same data as the Recon panel /api/osint/* routes.",
+            "osint_sweep": "Active subnet scan via Shodan InternetDB — requires full OpenClaw access tier.",
+            "entity_expand": "Build a relationship graph around aircraft, vessels, IPs, companies, people, or countries.",
+        },
+    }

backend/services/osint_intel/__init__.py

@@ -0,0 +1 @@
+"""Entity graph resolution (Osiris intel layer port)."""

backend/services/osint_intel/resolve.py

@@ -0,0 +1,268 @@
+"""Entity graph resolver (Python port of Osiris intel/server.js)."""
+from __future__ import annotations
+
+import logging
+import re
+import threading
+import time
+from typing import Any
+from urllib.parse import quote
+
+from services.network_utils import fetch_with_curl
+from services.sanctions.ofac import match_exact, search_sanctions
+
+logger = logging.getLogger(__name__)
+
+ALLOWED_TYPES = frozenset({"aircraft", "vessel", "company", "person", "ip", "country"})
+_WD_CACHE: dict[str, tuple[float, dict[str, Any]]] = {}
+_WD_LOCK = threading.Lock()
+_WD_TTL = 24 * 60 * 60
+_WD_UA = "Shadowbroker-Intel/1.0 (ontology engine)"
+
+
+def _dedup(nodes: list[dict], links: list[dict]) -> dict[str, Any]:
+    node_map: dict[str, dict] = {}
+    for n in nodes:
+        node_map[n["id"]] = n
+    seen_links: set[str] = set()
+    out_links: list[dict] = []
+    for link in links:
+        key = f"{link['source']}→{link['target']}→{link['label']}"
+        if key in seen_links:
+            continue
+        seen_links.add(key)
+        out_links.append(link)
+    return {"nodes": list(node_map.values()), "links": out_links}
+
+
+def _wd_cache_get(key: str) -> dict[str, Any] | None:
+    with _WD_LOCK:
+        entry = _WD_CACHE.get(key)
+        if not entry:
+            return None
+        ts, data = entry
+        if time.time() - ts > _WD_TTL:
+            _WD_CACHE.pop(key, None)
+            return None
+        return data
+
+
+def _wd_cache_set(key: str, data: dict[str, Any]) -> None:
+    with _WD_LOCK:
+        if len(_WD_CACHE) > 5000:
+            oldest = next(iter(_WD_CACHE))
+            _WD_CACHE.pop(oldest, None)
+        _WD_CACHE[key] = (time.time(), data)
+
+
+def _add_sanctions(id_label: str, root_id: str, nodes: list, links: list) -> None:
+    for hit in search_sanctions(id_label, limit=3):
+        sid = f"sanction:{hit['id']}"
+        nodes.append(
+            {
+                "id": sid,
+                "label": hit["name"],
+                "type": "sanction",
+                "properties": {"programs": hit.get("programs"), "source": "OFAC SDN"},
+            }
+        )
+        links.append({"source": root_id, "target": sid, "label": "SANCTIONS MATCH"})
+
+
+def _sparql(query: str) -> list[dict[str, Any]]:
+    url = f"https://query.wikidata.org/sparql?query={quote(query)}&format=json"
+    resp = fetch_with_curl(url, timeout=10, headers={"User-Agent": _WD_UA, "Accept": "application/sparql-results+json"})
+    if resp.status_code != 200:
+        return []
+    try:
+        data = resp.json()
+    except Exception:
+        return []
+    return data.get("results", {}).get("bindings", [])
+
+
+def _wd_search(label: str) -> str | None:
+    url = (
+        "https://www.wikidata.org/w/api.php?action=wbsearchentities"
+        f"&search={quote(label)}&language=en&limit=1&format=json"
+    )
+    resp = fetch_with_curl(url, timeout=5, headers={"User-Agent": _WD_UA})
+    if resp.status_code != 200:
+        return None
+    try:
+        hits = resp.json().get("search") or []
+    except Exception:
+        return None
+    return hits[0]["id"] if hits else None
+
+
+def _resolve_ip(id_value: str) -> dict[str, Any]:
+    cache_key = f"ip:{id_value}"
+    cached = _wd_cache_get(cache_key)
+    if cached:
+        return cached
+
+    root_id = f"ip:{id_value}"
+    nodes: list[dict] = [{"id": root_id, "label": id_value, "type": "ip", "properties": {}}]
+    links: list[dict] = []
+
+    geo = fetch_with_curl(
+        f"https://ip-api.com/json/{quote(id_value)}"
+        "?fields=status,country,countryCode,city,lat,lon,isp,org,as,asname,proxy,hosting,mobile",
+        timeout=8,
+    )
+    if geo.status_code == 200:
+        try:
+            data = geo.json()
+        except Exception:
+            data = {}
+        if data.get("status") == "success":
+            nodes[0]["properties"] = {
+                "proxy": bool(data.get("proxy")),
+                "hosting": bool(data.get("hosting")),
+                "mobile": bool(data.get("mobile")),
+                "source": "ip-api.com",
+            }
+            if data.get("isp"):
+                iid = f"company:{data['isp']}"
+                nodes.append({"id": iid, "label": data["isp"], "type": "company", "properties": {"role": "ISP"}})
+                links.append({"source": root_id, "target": iid, "label": "HOSTED_BY"})
+            if data.get("country"):
+                cid = f"country:{data['country']}"
+                nodes.append(
+                    {
+                        "id": cid,
+                        "label": data["country"],
+                        "type": "country",
+                        "properties": {"code": data.get("countryCode")},
+                    }
+                )
+                links.append({"source": root_id, "target": cid, "label": "LOCATED_IN"})
+            for val in (data.get("isp"), data.get("org"), data.get("asname")):
+                if val:
+                    for entry in match_exact(val):
+                        sid = f"sanction:{entry['id']}"
+                        nodes.append({"id": sid, "label": entry["name"], "type": "sanction", "properties": {}})
+                        links.append({"source": root_id, "target": sid, "label": "SANCTIONS MATCH"})
+
+    whois = fetch_with_curl(
+        f"https://stat.ripe.net/data/whois/data.json?resource={quote(id_value)}",
+        timeout=8,
+    )
+    if whois.status_code == 200:
+        try:
+            records = whois.json().get("data", {}).get("records") or []
+        except Exception:
+            records = []
+        for record in records:
+            for field in record:
+                if field.get("key") in ("netname", "NetName"):
+                    nid = f"company:{field['value']}"
+                    nodes.append({"id": nid, "label": field["value"], "type": "company", "properties": {"role": "Network"}})
+                    links.append({"source": root_id, "target": nid, "label": "HOSTED_BY"})
+
+    result = _dedup(nodes, links)
+    _wd_cache_set(cache_key, result)
+    return result
+
+
+def _resolve_company(id_value: str) -> dict[str, Any]:
+    cache_key = f"company:{id_value}"
+    cached = _wd_cache_get(cache_key)
+    if cached:
+        return cached
+    root_id = f"company:{id_value}"
+    nodes = [{"id": root_id, "label": id_value, "type": "company", "properties": {}}]
+    links: list[dict] = []
+    safe = re.sub(r'[^a-zA-Z0-9 \-._]', '', id_value).strip()
+    qid = _wd_search(safe)
+    filt = f"VALUES ?item {{ wd:{qid} }}" if qid else f'?item rdfs:label "{safe}"@en . ?item wdt:P31/wdt:P279* wd:Q4830453 .'
+    rows = _sparql(
+        f"""
+        SELECT ?countryLabel ?parentLabel ?ceoLabel WHERE {{
+          {filt}
+          OPTIONAL {{ ?item wdt:P17 ?country . }}
+          OPTIONAL {{ ?item wdt:P749 ?parent . }}
+          OPTIONAL {{ ?item wdt:P169 ?ceo . }}
+          SERVICE wikibase:label {{ bd:serviceParam wikibase:language "en" . }}
+        }} LIMIT 10
+        """
+    )
+    for row in rows:
+        if row.get("countryLabel", {}).get("value"):
+            cid = f"country:{row['countryLabel']['value']}"
+            nodes.append({"id": cid, "label": row["countryLabel"]["value"], "type": "country", "properties": {}})
+            links.append({"source": root_id, "target": cid, "label": "HEADQUARTERED"})
+        if row.get("parentLabel", {}).get("value"):
+            pid = f"company:{row['parentLabel']['value']}"
+            nodes.append({"id": pid, "label": row["parentLabel"]["value"], "type": "company", "properties": {}})
+            links.append({"source": root_id, "target": pid, "label": "PARENT ORG"})
+        if row.get("ceoLabel", {}).get("value"):
+            pid = f"person:{row['ceoLabel']['value']}"
+            nodes.append({"id": pid, "label": row["ceoLabel"]["value"], "type": "person", "properties": {"role": "CEO"}})
+            links.append({"source": root_id, "target": pid, "label": "CEO"})
+    _add_sanctions(id_value, root_id, nodes, links)
+    result = _dedup(nodes, links)
+    _wd_cache_set(cache_key, result)
+    return result
+
+
+def _resolve_from_store(entity_type: str, id_value: str, props: dict[str, Any]) -> dict[str, Any]:
+    from services.fetchers._store import get_latest_data_subset_refs
+
+    root_id = f"{entity_type}:{id_value}"
+    nodes = [{"id": root_id, "label": props.get("label") or id_value, "type": entity_type, "properties": props}]
+    links: list[dict] = []
+    data = get_latest_data_subset_refs("flights", "ships", "military_flights", "tracked_flights")
+
+    if entity_type == "aircraft":
+        icao = (props.get("icao24") or id_value).lower()
+        for bucket in ("military_flights", "tracked_flights", "flights"):
+            for f in data.get(bucket) or []:
+                if str(f.get("icao24", "")).lower() == icao:
+                    if f.get("country"):
+                        cid = f"country:{f['country']}"
+                        nodes.append({"id": cid, "label": f["country"], "type": "country", "properties": {}})
+                        links.append({"source": root_id, "target": cid, "label": "REGISTERED_IN"})
+                    if f.get("registration"):
+                        nodes[0]["properties"]["registration"] = f["registration"]
+                    break
+    elif entity_type == "vessel":
+        mmsi = str(props.get("mmsi") or id_value)
+        for ship in data.get("ships") or []:
+            if str(ship.get("mmsi")) == mmsi:
+                if ship.get("country"):
+                    cid = f"country:{ship['country']}"
+                    nodes.append({"id": cid, "label": ship["country"], "type": "country", "properties": {}})
+                    links.append({"source": root_id, "target": cid, "label": "FLAG"})
+                break
+    _add_sanctions(id_value, root_id, nodes, links)
+    return _dedup(nodes, links)
+
+
+def resolve_entity(entity_type: str, id_value: str, properties: dict[str, Any] | None = None) -> dict[str, Any]:
+    etype = (entity_type or "").lower().strip()
+    eid = (id_value or "").strip()
+    if etype not in ALLOWED_TYPES:
+        raise ValueError(f"Invalid type. Allowed: {', '.join(sorted(ALLOWED_TYPES))}")
+    if len(eid) < 2 or len(eid) > 200:
+        raise ValueError("Invalid id (2-200 chars)")
+    props = properties or {}
+
+    if etype == "ip":
+        return _resolve_ip(eid)
+    if etype in ("company", "person", "country"):
+        if etype == "company":
+            return _resolve_company(eid)
+        if etype == "person":
+            root_id = f"person:{eid}"
+            nodes = [{"id": root_id, "label": eid, "type": "person", "properties": {}}]
+            links: list[dict] = []
+            _add_sanctions(eid, root_id, nodes, links)
+            return _dedup(nodes, links)
+        root_id = f"country:{eid}"
+        nodes = [{"id": root_id, "label": eid, "type": "country", "properties": {}}]
+        links = []
+        _add_sanctions(eid, root_id, nodes, links)
+        return _dedup(nodes, links)
+    return _resolve_from_store(etype, eid, props)

backend/services/prediction_markets_settings.py

@@ -0,0 +1,81 @@
+"""Operator opt-in for Polymarket/Kalshi outbound fetches (Global Threat Intercept)."""
+
+from __future__ import annotations
+
+import json
+import logging
+import os
+import threading
+from pathlib import Path
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+_OPT_IN_FILE = Path(__file__).resolve().parent.parent / "data" / "prediction_markets_opt_in.json"
+_OPT_IN_LOCK = threading.Lock()
+
+
+def _env_flag(name: str) -> str:
+    return str(os.getenv(name, "")).strip().lower()
+
+
+def get_prediction_markets_ui_opt_in() -> bool:
+    if not _OPT_IN_FILE.exists():
+        return False
+    try:
+        payload = json.loads(_OPT_IN_FILE.read_text(encoding="utf-8"))
+        return bool(payload.get("opted_in"))
+    except (OSError, json.JSONDecodeError, TypeError) as exc:
+        logger.warning("Prediction markets opt-in file unreadable: %s", exc)
+        return False
+
+
+def set_prediction_markets_ui_opt_in(opted_in: bool) -> None:
+    _OPT_IN_FILE.parent.mkdir(parents=True, exist_ok=True)
+    with _OPT_IN_LOCK:
+        _OPT_IN_FILE.write_text(
+            json.dumps({"opted_in": bool(opted_in)}, indent=2),
+            encoding="utf-8",
+        )
+
+
+def prediction_markets_env_forced_on() -> bool:
+    return _env_flag("PREDICTION_MARKETS_ENABLED") in {"1", "true", "yes", "on"}
+
+
+def prediction_markets_env_forced_off() -> bool:
+    return _env_flag("PREDICTION_MARKETS_ENABLED") in {"0", "false", "no", "off"}
+
+
+def prediction_markets_fetch_enabled() -> bool:
+    """True when UI opt-in or env enables Polymarket/Kalshi pulls."""
+    if get_prediction_markets_ui_opt_in():
+        return True
+    return prediction_markets_env_forced_on()
+
+
+def prediction_markets_status() -> dict[str, Any]:
+    ui_opted_in = get_prediction_markets_ui_opt_in()
+    env_on = prediction_markets_env_forced_on()
+    env_off = prediction_markets_env_forced_off()
+    env_override = None
+    if env_on:
+        env_override = "on"
+    elif env_off:
+        env_override = "off"
+    return {
+        "enabled": prediction_markets_fetch_enabled(),
+        "ui_opted_in": ui_opted_in,
+        "env_override": env_override,
+        "jitter": {
+            "scheduler_interval_minutes": int(
+                os.environ.get("PREDICTION_MARKETS_INTERVAL_MINUTES", "7")
+            ),
+            "scheduler_jitter_seconds": int(
+                os.environ.get("PREDICTION_MARKETS_SCHEDULER_JITTER_S", "240")
+            ),
+            "pre_fetch_jitter_seconds": float(
+                os.environ.get("PREDICTION_MARKETS_PRE_FETCH_JITTER_S", "90")
+            ),
+        },
+    }

backend/services/region_dossier.py

@@ -301,3 +301,36 @@ def get_region_dossier(lat: float, lng: float) -> dict:
 
     dossier_cache[cache_key] = result
     return result
+
+
+def fetch_wikipedia_page_summary(title: str) -> dict | None:
+    """Wikipedia REST summary for a page title (backend-proxied for #360)."""
+    trimmed = (title or "").strip()
+    if not trimmed:
+        return None
+    data = _fetch_local_wiki_summary(trimmed, "")
+    if not data.get("extract") and not data.get("description"):
+        return None
+    return {
+        "title": trimmed,
+        "description": data.get("description", ""),
+        "extract": data.get("extract", ""),
+        "thumbnail": data.get("thumbnail", ""),
+        "type": "standard",
+    }
+
+
+def fetch_wikidata_sparql_bindings(sparql: str) -> list:
+    """Run a Wikidata SPARQL query; returns bindings list (empty on failure)."""
+    trimmed = (sparql or "").strip()
+    if not trimmed:
+        return []
+    url = f"https://query.wikidata.org/sparql?query={quote(trimmed)}&format=json"
+    try:
+        res = fetch_with_curl(url, timeout=8, headers=_wikimedia_request_headers())
+        if res.status_code == 200:
+            bindings = res.json().get("results", {}).get("bindings", [])
+            return bindings if isinstance(bindings, list) else []
+    except (ConnectionError, TimeoutError, ValueError, KeyError, OSError) as e:
+        logger.warning("Wikidata SPARQL failed: %s", e)
+    return []

backend/services/road_corridor_sat/__init__.py

@@ -0,0 +1,5 @@
+"""Sentinel-2 road corridor freight trend analysis (DrishX engine port)."""
+
+from .config import optional_deps_available, road_corridor_sat_enabled
+
+__all__ = ["optional_deps_available", "road_corridor_sat_enabled"]

backend/services/road_corridor_sat/__main__.py

@@ -0,0 +1,4 @@
+from .cli import main
+
+if __name__ == "__main__":
+    raise SystemExit(main())

backend/services/road_corridor_sat/cli.py

@@ -0,0 +1,53 @@
+"""CLI for manual road corridor analysis runs."""
+from __future__ import annotations
+
+import argparse
+import logging
+import sys
+
+from .config import optional_deps_available, road_corridor_sat_enabled
+from .credentials import sentinel_credentials_configured
+from .pipeline import analyze_preset
+from .presets import CORRIDOR_PRESETS
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(description="Run Sentinel-2 road corridor truck trend analysis")
+    parser.add_argument("--preset", required=True, help="Preset id (e.g. laredo_i35)")
+    parser.add_argument("-v", "--verbose", action="store_true")
+    args = parser.parse_args(argv)
+
+    logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
+
+    if not optional_deps_available():
+        print(
+            "Install optional deps: uv sync --extra road-corridor "
+            "(geopandas, osmnx, rasterio, sentinelhub, scikit-learn, imageio)",
+            file=sys.stderr,
+        )
+        return 2
+    if not road_corridor_sat_enabled() and not args.verbose:
+        print("Note: ROAD_CORRIDOR_SAT_ENABLED is off — CLI still runs for manual analysis.")
+    if not sentinel_credentials_configured():
+        print("Set SENTINEL_CLIENT_ID and SENTINEL_CLIENT_SECRET first.", file=sys.stderr)
+        return 2
+
+    valid = {p["id"] for p in CORRIDOR_PRESETS}
+    if args.preset not in valid:
+        print(f"Unknown preset {args.preset!r}. Choose from: {', '.join(sorted(valid))}", file=sys.stderr)
+        return 2
+
+    def progress(msg: str, pct: int | None = None) -> None:
+        suffix = f" ({pct}%)" if pct is not None else ""
+        print(f"{msg}{suffix}")
+
+    result = analyze_preset(args.preset, progress_cb=progress)
+    print(
+        f"Done: {result.get('total_detections', 0)} detections across "
+        f"{len(result.get('daily_counts') or [])} days — status={result.get('status')}"
+    )
+    return 0 if result.get("status") == "ok" else 1
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

backend/services/road_corridor_sat/config.py

@@ -0,0 +1,41 @@
+"""Configuration for Sentinel-2 road corridor trend analysis."""
+from __future__ import annotations
+
+import os
+from pathlib import Path
+
+_BACKEND_ROOT = Path(__file__).resolve().parents[2]
+DATA_ROOT = Path(os.environ.get("ROAD_CORRIDOR_DATA_DIR", str(_BACKEND_ROOT / "data" / "road_corridors")))
+CACHE_DIR = DATA_ROOT / "cache"
+DETECTION_CROP_DIR = DATA_ROOT / "detection_crops"
+STATE_PATH = DATA_ROOT / "_refresh_state.json"
+
+DEFAULT_MONTHS = int(os.environ.get("ROAD_CORRIDOR_MONTHS", "2"))
+DEFAULT_MAX_FRAMES = int(os.environ.get("ROAD_CORRIDOR_MAX_FRAMES", "6"))
+SCHEDULED_PRESET_IDS = [
+    s.strip()
+    for s in os.environ.get("ROAD_CORRIDOR_SCHEDULED_PRESETS", "laredo_i35").split(",")
+    if s.strip()
+]
+
+
+def road_corridor_sat_enabled() -> bool:
+    return os.environ.get("ROAD_CORRIDOR_SAT_ENABLED", "").strip().lower() in {
+        "1",
+        "true",
+        "yes",
+        "on",
+    }
+
+
+def optional_deps_available() -> bool:
+    try:
+        import geopandas  # noqa: F401
+        import osmnx  # noqa: F401
+        import rasterio  # noqa: F401
+        import sentinelhub  # noqa: F401
+        import sklearn  # noqa: F401
+
+        return True
+    except ImportError:
+        return False

backend/services/road_corridor_sat/credentials.py

@@ -0,0 +1,37 @@
+"""Reuse Shadowbroker Sentinel Hub / Copernicus CDSE credentials."""
+from __future__ import annotations
+
+import os
+
+from .config import CACHE_DIR
+
+
+def resolve_sentinel_credentials() -> tuple[str, str]:
+    client_id = (os.environ.get("SENTINEL_CLIENT_ID") or "").strip()
+    client_secret = (os.environ.get("SENTINEL_CLIENT_SECRET") or "").strip()
+    return client_id, client_secret
+
+
+def sentinel_credentials_configured() -> bool:
+    client_id, client_secret = resolve_sentinel_credentials()
+    return bool(client_id and client_secret)
+
+
+def build_sh_config():
+    from sentinelhub import SHConfig
+
+    client_id, client_secret = resolve_sentinel_credentials()
+    if not client_id or not client_secret:
+        raise RuntimeError(
+            "SENTINEL_CLIENT_ID and SENTINEL_CLIENT_SECRET are required for road corridor analysis"
+        )
+    config = SHConfig()
+    config.sh_client_id = client_id
+    config.sh_client_secret = client_secret
+    config.sh_base_url = "https://sh.dataspace.copernicus.eu"
+    config.sh_token_url = (
+        "https://identity.dataspace.copernicus.eu/auth/realms/CDSE/protocol/openid-connect/token"
+    )
+    CACHE_DIR.mkdir(parents=True, exist_ok=True)
+    config.cache_dir = str(CACHE_DIR / "sentinelhub")
+    return config

backend/services/road_corridor_sat/jobs.py

@@ -0,0 +1,149 @@
+"""In-memory job queue for on-demand Analyze Here runs."""
+from __future__ import annotations
+
+import logging
+import threading
+import uuid
+from dataclasses import dataclass
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+_lock = threading.Lock()
+_jobs: dict[str, AnalyzeJob] = {}
+
+
+@dataclass
+class AnalyzeJob:
+    job_id: str
+    lat: float
+    lon: float
+    status: str = "queued"
+    message: str = "Queued"
+    progress: int = 0
+    result: dict[str, Any] | None = None
+    error: str | None = None
+
+
+def get_job(job_id: str) -> AnalyzeJob | None:
+    with _lock:
+        return _jobs.get(job_id)
+
+
+def get_latest_job() -> AnalyzeJob | None:
+    with _lock:
+        if not _jobs:
+            return None
+        return max(_jobs.values(), key=lambda j: j.job_id)
+
+
+def _running_job() -> AnalyzeJob | None:
+    with _lock:
+        for job in _jobs.values():
+            if job.status in {"queued", "running"}:
+                return job
+    return None
+
+
+def _prune_jobs(max_keep: int = 8) -> None:
+    with _lock:
+        if len(_jobs) <= max_keep:
+            return
+        ordered = sorted(_jobs.items(), key=lambda item: item[0], reverse=True)
+        for job_id, _ in ordered[max_keep:]:
+            _jobs.pop(job_id, None)
+
+
+def _worker(job_id: str, lat: float, lon: float, label: str | None) -> None:
+    from services.fetchers.road_corridor_sat import refresh_road_corridor_store
+
+    from .pipeline import analyze_corridor
+    from .viewport import adhoc_preset_id, bbox_around_point, default_label_for_point
+
+    job = get_job(job_id)
+    if job is None:
+        return
+
+    def progress(msg: str, pct: int | None = None) -> None:
+        with _lock:
+            current = _jobs.get(job_id)
+            if current is None:
+                return
+            current.message = msg
+            if pct is not None:
+                current.progress = pct
+
+    with _lock:
+        job.status = "running"
+        job.message = "Starting road corridor analysis"
+        job.progress = 0
+
+    try:
+        bbox = bbox_around_point(lat, lon)
+        preset_id = adhoc_preset_id(lat, lon)
+        corridor_label = label or default_label_for_point(lat, lon)
+        result = analyze_corridor(
+            preset_id=preset_id,
+            label=corridor_label,
+            bbox=bbox,
+            country="adhoc",
+            category="viewport",
+            progress_cb=progress,
+        )
+        refresh_road_corridor_store()
+        with _lock:
+            current = _jobs.get(job_id)
+            if current is None:
+                return
+            current.status = "ok" if result.get("status") == "ok" else "error"
+            current.result = result
+            current.error = result.get("error")
+            current.message = (
+                f"{result.get('total_detections', 0)} signatures · "
+                f"{len(result.get('daily_counts') or [])} days"
+            )
+            current.progress = 100
+    except Exception as exc:
+        logger.exception("road corridor analyze job %s failed", job_id)
+        with _lock:
+            current = _jobs.get(job_id)
+            if current is None:
+                return
+            current.status = "error"
+            current.error = str(exc)
+            current.message = "Analysis failed"
+            current.progress = 100
+
+
+def enqueue_analyze(lat: float, lon: float, label: str | None = None) -> AnalyzeJob:
+    running = _running_job()
+    if running is not None:
+        raise RuntimeError("analysis_already_running")
+
+    job_id = uuid.uuid4().hex[:12]
+    job = AnalyzeJob(job_id=job_id, lat=lat, lon=lon)
+    with _lock:
+        _jobs[job_id] = job
+        _prune_jobs()
+
+    thread = threading.Thread(
+        target=_worker,
+        args=(job_id, lat, lon, label),
+        name=f"road-corridor-analyze-{job_id}",
+        daemon=True,
+    )
+    thread.start()
+    return job
+
+
+def job_to_dict(job: AnalyzeJob) -> dict[str, Any]:
+    return {
+        "job_id": job.job_id,
+        "lat": job.lat,
+        "lon": job.lon,
+        "status": job.status,
+        "message": job.message,
+        "progress": job.progress,
+        "result": job.result,
+        "error": job.error,
+    }

backend/services/road_corridor_sat/pipeline.py

@@ -0,0 +1,216 @@
+"""Run Sentinel-2 road-corridor truck trend analysis for a bbox preset."""
+from __future__ import annotations
+
+import logging
+from collections.abc import Callable
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from datetime import datetime, timedelta
+from typing import Any
+
+from .config import CACHE_DIR, DEFAULT_MAX_FRAMES, DEFAULT_MONTHS, DETECTION_CROP_DIR
+from .storage import store_analysis_result
+
+logger = logging.getLogger(__name__)
+
+ProgressCb = Callable[[str, int | None], None]
+
+_EVALSCRIPT = """//VERSION=3
+function setup() {
+  return {
+    input: ["B02", "B03", "B04", "B08", "CLM"],
+    output: { id: "default", bands: 5, sampleType: "FLOAT32" }
+  };
+}
+function evaluatePixel(s) {
+  return [s.B04, s.B03, s.B02, s.B08, s.CLM];
+}"""
+
+
+def _noop_progress(_msg: str, _pct: int | None = None) -> None:
+    return None
+
+
+def analyze_corridor(
+    *,
+    preset_id: str,
+    label: str,
+    bbox: list[float],
+    country: str = "",
+    category: str = "",
+    months: int = DEFAULT_MONTHS,
+    max_frames: int = DEFAULT_MAX_FRAMES,
+    progress_cb: ProgressCb | None = None,
+) -> dict[str, Any]:
+    """Synchronously analyze one corridor bbox and persist daily truck-count trends."""
+    from rasterio import features as rio_features
+    from rasterio import transform as rio_transform
+    from sentinelhub import BBox, CRS, DataCollection, MimeType, SentinelHubCatalog, SentinelHubRequest
+
+    from .credentials import build_sh_config
+    from .s2_truck_detect import S2TruckEngine
+
+    progress = progress_cb or _noop_progress
+    min_lat, min_lon, max_lat, max_lon = bbox
+    if abs(max_lat - min_lat) > 0.5 or abs(max_lon - min_lon) > 0.5:
+        raise ValueError("AOI too large. Max strategic sector is ~55 km x 55 km.")
+
+    CACHE_DIR.mkdir(parents=True, exist_ok=True)
+    engine = S2TruckEngine(
+        cache_dir=str(CACHE_DIR),
+        detection_dir=str(DETECTION_CROP_DIR),
+    )
+    config = build_sh_config()
+
+    progress(f"Road discovery for {label}", 10)
+    roads = engine.fetch_roads(bbox)
+    if roads.empty:
+        return store_analysis_result(
+            preset_id,
+            label=label,
+            bbox=bbox,
+            country=country,
+            category=category,
+            road_count=0,
+            frame_count=0,
+            detections=[],
+            status="error",
+            error="No major roads found in AOI.",
+        )
+
+    progress(f"Found {len(roads)} road segments — querying Copernicus catalog", 25)
+    sh_bbox = BBox(bbox=[min_lon, min_lat, max_lon, max_lat], crs=CRS.WGS84)
+    catalog = SentinelHubCatalog(config=config)
+    end_date = datetime.utcnow()
+    start_date = end_date - timedelta(days=max(1, months) * 30)
+    cdse_collection = DataCollection.SENTINEL2_L2A.define_from(
+        "s2l2a",
+        service_url=config.sh_base_url,
+    )
+    search_results = list(
+        catalog.search(
+            cdse_collection,
+            bbox=sh_bbox,
+            datetime=(
+                f"{start_date.strftime('%Y-%m-%dT00:00:00Z')}/"
+                f"{end_date.strftime('%Y-%m-%dT23:59:59Z')}"
+            ),
+            filter="eo:cloud_cover < 60",
+            fields={"include": ["properties.datetime", "id"], "exclude": []},
+        )
+    )
+    unique_scenes: dict[str, Any] = {}
+    for res in search_results:
+        date_key = res["properties"]["datetime"][:10]
+        if date_key not in unique_scenes:
+            unique_scenes[date_key] = res
+    final_obs = [unique_scenes[d] for d in sorted(unique_scenes.keys(), reverse=True)]
+    final_obs = final_obs[: max(1, max_frames)]
+    if not final_obs:
+        return store_analysis_result(
+            preset_id,
+            label=label,
+            bbox=bbox,
+            country=country,
+            category=category,
+            road_count=len(roads),
+            frame_count=0,
+            detections=[],
+            status="error",
+            error=f"No clear imagery found in the last {months} months.",
+        )
+
+    def _fetch_frame(idx: int, res_obs: dict[str, Any]):
+        try:
+            date_str = res_obs["properties"]["datetime"]
+            req_sh = SentinelHubRequest(
+                evalscript=_EVALSCRIPT,
+                input_data=[
+                    SentinelHubRequest.input_data(
+                        data_collection=cdse_collection,
+                        time_interval=(date_str, date_str),
+                    )
+                ],
+                responses=[SentinelHubRequest.output_response("default", MimeType.TIFF)],
+                bbox=sh_bbox,
+                config=config,
+            )
+            data_list = req_sh.get_data()
+            if not data_list:
+                return idx, date_str, None
+            return idx, date_str, data_list[0]
+        except Exception as exc:
+            logger.error("Sentinel frame %s failed: %s", idx, exc)
+            return idx, None, None
+
+    progress(f"Seed frame 1/{len(final_obs)}", 35)
+    _, seed_ts, seed_data = _fetch_frame(0, final_obs[0])
+    if seed_data is None:
+        return store_analysis_result(
+            preset_id,
+            label=label,
+            bbox=bbox,
+            country=country,
+            category=category,
+            road_count=len(roads),
+            frame_count=0,
+            detections=[],
+            status="error",
+            error="Failed to acquire seed spectral data.",
+        )
+
+    roads_buf = roads.to_crs(epsg=3857).buffer(20).to_crs(epsg=4326)
+    h, w = seed_data.shape[:2]
+    trans = rio_transform.from_bounds(min_lon, min_lat, max_lon, max_lat, w, h)
+    road_mask = rio_features.rasterize(
+        [(geom.__geo_interface__, 1) for geom in roads_buf.geometry],
+        out_shape=(h, w),
+        transform=trans,
+        fill=0,
+        all_touched=True,
+    )
+
+    detections: list[dict[str, Any]] = []
+    detections.extend(engine.detect_trucks(seed_data, bbox, final_obs[0]["properties"]["datetime"], road_mask))
+
+    if len(final_obs) > 1:
+        progress(f"Parallel frames ({len(final_obs) - 1} remaining)", 45)
+        with ThreadPoolExecutor(max_workers=3, thread_name_prefix="road-corridor") as executor:
+            futures = {
+                executor.submit(_fetch_frame, i, final_obs[i]): i for i in range(1, len(final_obs))
+            }
+            done = 1
+            for future in as_completed(futures):
+                idx, date_str, frame_data = future.result()
+                done += 1
+                if frame_data is not None and date_str:
+                    detections.extend(engine.detect_trucks(frame_data, bbox, date_str, road_mask))
+                progress(f"Frame {done}/{len(final_obs)}", 45 + int((done / len(final_obs)) * 50))
+
+    progress(f"Complete — {len(detections)} truck signatures", 100)
+    return store_analysis_result(
+        preset_id,
+        label=label,
+        bbox=bbox,
+        country=country,
+        category=category,
+        road_count=len(roads),
+        frame_count=len(final_obs),
+        detections=detections,
+        status="ok",
+    )
+
+
+def analyze_preset(preset_id: str, progress_cb: ProgressCb | None = None) -> dict[str, Any]:
+    from .presets import get_preset
+
+    preset = get_preset(preset_id)
+    if preset is None:
+        raise KeyError(f"Unknown preset: {preset_id}")
+    return analyze_corridor(
+        preset_id=preset["id"],
+        label=preset["label"],
+        bbox=preset["bbox"],
+        country=preset["country"],
+        category=preset["category"],
+        progress_cb=progress_cb,
+    )

backend/services/road_corridor_sat/presets.py

@@ -0,0 +1,59 @@
+"""Preset freight / chokepoint corridors for scheduled trend analysis."""
+from __future__ import annotations
+
+from typing import TypedDict
+
+
+class CorridorPreset(TypedDict):
+    id: str
+    label: str
+    bbox: list[float]  # [min_lat, min_lon, max_lat, max_lon]
+    country: str
+    category: str
+
+
+# Bboxes are small (~5–10 km) highway segments suitable for 10 m Sentinel-2 analysis.
+CORRIDOR_PRESETS: list[CorridorPreset] = [
+    {
+        "id": "laredo_i35",
+        "label": "Laredo I-35 (US–Mexico freight)",
+        "bbox": [27.48, -99.58, 27.54, -99.48],
+        "country": "USA / Mexico",
+        "category": "border_crossing",
+    },
+    {
+        "id": "bandar_abbas_feeder",
+        "label": "Bandar Abbas port feeder (Highway 71)",
+        "bbox": [27.12, 56.22, 27.22, 56.38],
+        "country": "Iran",
+        "category": "port_feeder",
+    },
+    {
+        "id": "rotterdam_a15",
+        "label": "Rotterdam A15 port feeder",
+        "bbox": [51.88, 4.42, 51.96, 4.58],
+        "country": "Netherlands",
+        "category": "port_feeder",
+    },
+    {
+        "id": "mombasa_nairobi_a109",
+        "label": "Mombasa–Nairobi A109 corridor",
+        "bbox": [-4.10, 39.55, -1.20, 37.00],
+        "country": "Kenya",
+        "category": "trade_corridor",
+    },
+    {
+        "id": "braunschweig_a7",
+        "label": "Braunschweig A7 (validation)",
+        "bbox": [52.25, 10.45, 52.32, 10.55],
+        "country": "Germany",
+        "category": "validation",
+    },
+]
+
+
+def get_preset(preset_id: str) -> CorridorPreset | None:
+    for preset in CORRIDOR_PRESETS:
+        if preset["id"] == preset_id:
+            return preset
+    return None

backend/services/road_corridor_sat/s2_truck_detect.py

@@ -0,0 +1,731 @@
+"""S2 truck motion detection core (DrishX / Fisser et al. 2022 — see third_party/drishx/NOTICE.md)."""
+from __future__ import annotations
+
+import logging
+import os
+import pickle
+import time
+from pathlib import Path
+
+import imageio.v3 as imageio
+import numpy as np
+import requests
+from requests.adapters import HTTPAdapter
+from shapely.geometry import LineString
+from urllib3.util.retry import Retry
+
+logger = logging.getLogger(__name__)
+
+SECONDS_OFFSET_B02_B04 = 1.01
+
+OVERPASS_MIRRORS = [
+    "https://lz4.overpass-api.de/api/interpreter",
+    "https://z.overpass-api.de/api/interpreter",
+    "https://overpass.osm.ch/api/interpreter",
+    "https://overpass-api.de/api/interpreter",
+]
+
+_session = requests.Session()
+_retry = Retry(
+    total=2,
+    backoff_factor=1.0,
+    status_forcelist=[429, 500, 502, 503, 504],
+    allowed_methods=["GET", "POST"],
+)
+_adapter = HTTPAdapter(max_retries=_retry)
+_session.mount("http://", _adapter)
+_session.mount("https://", _adapter)
+
+
+def _configure_osmnx(data_dir: str) -> None:
+    import osmnx as ox
+
+    ox.settings.requests_session = _session
+    ox.settings.requests_timeout = 30
+    ox.settings.overpass_rate_limit = False
+    ox.settings.max_query_area_size = 1_000_000_000_000
+    ox.settings.log_console = False
+    ox.settings.use_cache = True
+    ox.settings.cache_folder = os.path.join(data_dir, "osm_cache")
+
+
+def _default_rf_model_path() -> str:
+    return str(Path(__file__).resolve().parents[2] / "data" / "drishx" / "rf_model.pickle")
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# Helper math — mirrors S2TD.array_utils.math
+# ─────────────────────────────────────────────────────────────────────────────
+
+def normalized_ratio(a, b):
+    """(a - b) / (a + b), safe division."""
+    denom = a + b
+    with np.errstate(divide="ignore", invalid="ignore"):
+        result = np.where(denom != 0, (a - b) / denom, 0.0)
+    return result.astype(np.float32)
+
+
+def rescale_s2(bands):
+    """Rescale Sentinel-2 L2A reflectance values (typically 0–10000 int) to 0–1 float."""
+    bands = bands.astype(np.float32)
+    if np.nanmax(bands) > 10:  # likely DN scale
+        bands /= 10000.0
+    return bands
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# Array subset — exact replica of S2TD.pick_arr_subset
+# ─────────────────────────────────────────────────────────────────────────────
+
+def pick_arr_subset(arr, y, x, size):
+    """Pick a size×size window centred on (y, x) from a 2D or 3D array."""
+    size_low = size // 2
+    size_up = size // 2
+    if size_low + size_up < size:
+        size_up += 1
+    ymin = max(0, y - size_low)
+    ymax = max(0, y + size_up)
+    xmin = max(0, x - size_low)
+    xmax = max(0, x + size_up)
+    if arr.ndim == 2:
+        return arr[ymin:ymax, xmin:xmax]
+    elif arr.ndim == 3:
+        return arr[:, ymin:ymax, xmin:xmax]
+    return arr
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# Feature stack — exact 7 features as in S2TD._build_feature_stack (Table 1)
+# ─────────────────────────────────────────────────────────────────────────────
+
+def build_feature_stack(data):
+    """
+    Build the 7-feature stack from Sentinel-2 bands.
+
+    Input `data` shape: (H, W, 5) with channels [B04(R), B03(G), B02(B), B08(NIR), CLM].
+
+    Feature order (Table 1, Fisser et al. 2022):
+        0: variance of (B04, B03, B02)
+        1: normalized_ratio(B04, B02)  — red / blue
+        2: normalized_ratio(B03, B02)  — green / blue
+        3: B04 - mean(B04)
+        4: B03 - mean(B03)
+        5: B02 - mean(B02)
+        6: B08 - mean(B08)
+    """
+    R = data[:, :, 0].astype(np.float32)    # B04
+    G = data[:, :, 1].astype(np.float32)    # B03
+    B = data[:, :, 2].astype(np.float32)    # B02
+    NIR = data[:, :, 3].astype(np.float32)  # B08
+    CLM = data[:, :, 4]
+
+    # Rescale if needed
+    bands = np.stack([R, G, B, NIR], axis=0)
+    bands = rescale_s2(bands)
+    R, G, B, NIR = bands[0], bands[1], bands[2], bands[3]
+
+    # Cloud mask → NaN
+    cloud = CLM > 0
+    R[cloud] = np.nan
+    G[cloud] = np.nan
+    B[cloud] = np.nan
+    NIR[cloud] = np.nan
+
+    H, W = R.shape
+    fs = np.zeros((7, H, W), dtype=np.float32)
+
+    # Check for any valid data to avoid "Mean of empty slice" warnings
+    if np.any(~cloud):
+        import warnings
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore", category=RuntimeWarning)
+            # Feature 0: variance of visible bands
+            fs[0] = np.nanvar(np.stack([R, G, B], axis=0), axis=0, ddof=0)
+
+            # Features 1–2: normalized ratios
+            fs[1] = normalized_ratio(R, B)
+            fs[2] = normalized_ratio(G, B)
+
+            # Features 3–6: mean-centered bands
+            fs[3] = R - np.nanmean(R)
+            fs[4] = G - np.nanmean(G)
+            fs[5] = B - np.nanmean(B)
+            fs[6] = NIR - np.nanmean(NIR)
+    else:
+        # All pixels are cloud-masked
+        fs.fill(np.nan)
+
+    # Ensure NaN consistency
+    nan_mask = np.isnan(fs[3])
+    fs[:, nan_mask] = np.nan
+
+    return {
+        "feature_stack": fs,
+        "bands": {"R": R, "G": G, "B": B, "NIR": NIR},
+        "cloud_mask": cloud,
+    }
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# RF Model loading
+# ─────────────────────────────────────────────────────────────────────────────
+
+# Path to the trained Random Forest model from S2TruckDetect
+RF_MODEL_PATH = _default_rf_model_path()
+_rf_model = None
+
+
+def load_rf_model(path=None):
+    """Load the trained RF model from pickle. Returns None if not found."""
+    global _rf_model
+    p = path or RF_MODEL_PATH
+    if _rf_model is not None:
+        return _rf_model
+    if os.path.isfile(p):
+        try:
+            _rf_model = pickle.load(open(p, "rb"))
+            logger.info(f"Loaded trained RF model from {p}")
+            return _rf_model
+        except Exception as e:
+            logger.error(f"Failed to load RF model from {p}: {e}")
+    else:
+        logger.warning(f"RF model not found at {p} — will use proxy classifier (lower accuracy)")
+    return None
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# Classification — real RF (preferred) or proxy fallback
+# ─────────────────────────────────────────────────────────────────────────────
+
+def rf_classify(feature_stack, road_mask, rf_model):
+    """
+    Classify pixels using the trained Random Forest model.
+    Exact replica of S2TD._predict + _postprocess_prediction.
+
+    :param feature_stack: (7, H, W) feature array
+    :param road_mask: (H, W) binary road mask
+    :param rf_model: trained sklearn RandomForestClassifier
+    :return: (probabilities (4, H, W), prediction (H, W) int8)
+    """
+    H, W = feature_stack.shape[1], feature_stack.shape[2]
+
+    # Reshape to (n_pixels, 7) for sklearn
+    vars_reshaped = []
+    for band_idx in range(feature_stack.shape[0]):
+        vars_reshaped.append(feature_stack[band_idx].flatten())
+    vars_reshaped = np.array(vars_reshaped).swapaxes(0, 1)  # (n_pixels, 7)
+
+    # Build NaN mask — exclude NaN and Inf pixels
+    nan_mask_flat = np.zeros_like(vars_reshaped)
+    for var_idx in range(vars_reshaped.shape[1]):
+        nan_mask_flat[:, var_idx] = ~np.isnan(vars_reshaped[:, var_idx])
+    not_nan = (np.nanmin(nan_mask_flat, axis=1).astype(bool)
+               & np.min(np.isfinite(vars_reshaped), axis=1).astype(bool))
+
+    # Run RF predict_proba on valid pixels only
+    if not np.any(not_nan):
+        # Graceful return if no valid pixels found (e.g., all cloud masked)
+        probabilities_shaped = np.zeros((4, H, W), dtype=np.float32)
+        classification = np.zeros((H, W), dtype=np.int8)
+        return probabilities_shaped, classification
+
+    predictions_flat = rf_model.predict_proba(vars_reshaped[not_nan])
+
+    # Map probabilities back to spatial grid
+    n_classes = predictions_flat.shape[1] 
+    probabilities_shaped = np.zeros((n_classes, H * W), dtype=np.float32)
+    for idx in range(n_classes):
+        probabilities_shaped[idx, not_nan] = predictions_flat[:, idx]
+
+    probabilities_shaped = probabilities_shaped.reshape((n_classes, H, W))
+
+    # Zero out NaN positions
+    nan_2d = np.isnan(feature_stack[0])
+    probabilities_shaped[:, nan_2d] = 0
+
+    # Post-process: suppress low-confidence background (exact S2TD logic)
+    probabilities_shaped[1][probabilities_shaped[1] < 0.75] = 0
+
+    classification = np.nanargmax(probabilities_shaped, axis=0).astype(np.int8) + 1
+    classification[np.max(probabilities_shaped, axis=0) == 0] = 0
+    classification[nan_2d] = 0
+
+    # Apply road mask
+    rm = road_mask.astype(bool)
+    classification[~rm] = 0
+
+    return probabilities_shaped, classification
+
+
+def proxy_classify(feature_stack, road_mask):
+    """
+    Heuristic proxy when RF model is unavailable. Lower accuracy.
+
+    Produces:
+        probabilities: (4, H, W) — class probs for [background, blue, green, red]
+        prediction:    (H, W)    — int8 labels {0=nan, 1=background, 2=blue, 3=green, 4=red}
+    """
+    fs = feature_stack  # (7, H, W)
+    H, W = fs.shape[1], fs.shape[2]
+    probs = np.zeros((4, H, W), dtype=np.float32)
+
+    centered_R = fs[3]
+    centered_G = fs[4]
+    centered_B = fs[5]
+    var_feat = fs[0]
+    nratio_rb = fs[1]
+    nratio_gb = fs[2]
+
+    rm = road_mask.astype(bool)
+    nan_mask = np.isnan(centered_R)
+
+    blue_score = np.clip(-nratio_rb * 2 + centered_B * 5 + var_feat * 10, 0, None)
+    blue_score[~rm | nan_mask] = 0
+
+    green_score = np.clip(nratio_gb * 2 + centered_G * 5 + var_feat * 10, 0, None)
+    green_score[~rm | nan_mask] = 0
+
+    red_score = np.clip(nratio_rb * 2 + centered_R * 5 + var_feat * 10, 0, None)
+    red_score[~rm | nan_mask] = 0
+
+    total = blue_score + green_score + red_score + 1e-8
+    probs[1] = blue_score / total
+    probs[2] = green_score / total
+    probs[3] = red_score / total
+    probs[0] = 1.0 - np.max(probs[1:], axis=0)
+
+    probs[0][probs[0] < 0.75] = 0
+
+    classification = np.nanargmax(probs, axis=0).astype(np.int8) + 1
+    classification[np.max(probs, axis=0) == 0] = 0
+    classification[nan_mask] = 0
+    classification[~rm] = 0
+
+    return probs, classification
+
+
+def classify(feature_stack, road_mask, rf_model=None):
+    """
+    Unified classifier entry point.
+    Uses trained RF if model is provided, otherwise falls back to proxy.
+    """
+    if rf_model is not None:
+        logger.debug("Using trained RF model for classification")
+        return rf_classify(feature_stack, road_mask, rf_model)
+    else:
+        logger.debug("Using proxy classifier (no RF model loaded)")
+        return proxy_classify(feature_stack, road_mask)
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# Object extraction — faithful port of S2TD ObjectExtractor
+# ─────────────────────────────────────────────────────────────────────────────
+
+class ObjectExtractor:
+    """
+    Extracts truck objects from the RF prediction raster using recursive
+    neighbourhood clustering, matching the S2TD reference implementation.
+    """
+
+    def __init__(self, probabilities, lat_arr, lon_arr):
+        """
+        :param probabilities: (4, H, W) class probabilities
+        :param lat_arr: 1-D array of latitude per row
+        :param lon_arr: 1-D array of longitude per column
+        """
+        self.probabilities = probabilities
+        self.lat = lat_arr
+        self.lon = lon_arr
+
+    def extract(self, predictions_arr):
+        """Main extraction loop over all blue (class 2) seed pixels."""
+        preds = predictions_arr.copy()
+        probs = self.probabilities.copy()
+
+        preds[preds == 1] = 0  # zero out background
+        blue_ys, blue_xs = np.where(preds == 2)
+        detections = []
+        sub_size = 9
+
+        for i in range(len(blue_ys)):
+            y_blue, x_blue = int(blue_ys[i]), int(blue_xs[i])
+            if preds[y_blue, x_blue] == 0:
+                continue
+
+            subset_9 = pick_arr_subset(preds, y_blue, x_blue, sub_size).copy()
+            subset_3 = pick_arr_subset(preds, y_blue, x_blue, 3).copy()
+            subset_9_probs = pick_arr_subset(probs, y_blue, x_blue, sub_size).copy()
+
+            half_idx_y = y_blue if subset_9.shape[0] < sub_size else subset_9.shape[0] // 2
+            half_idx_x = x_blue if subset_9.shape[1] < sub_size else subset_9.shape[1] // 2
+            try:
+                current_value = subset_9[half_idx_y, half_idx_x]
+            except IndexError:
+                half_idx_y, half_idx_x = sub_size // 2, sub_size // 2
+                current_value = subset_9[half_idx_y, half_idx_x]
+
+            new_value = 100
+            if not all(v in subset_9 for v in [2, 3, 4]):
+                continue
+
+            cluster, seen_idx, seen_vals, _ = self._cluster_array(
+                arr=subset_9, probs=subset_9_probs,
+                point=[half_idx_y, half_idx_x],
+                new_value=new_value, current_value=current_value,
+                yet_seen_indices=[], yet_seen_values=[],
+                skipped_one=False,
+            )
+
+            if np.count_nonzero(cluster == new_value) < 3:
+                continue
+
+            det = self._postprocess_cluster(
+                cluster, preds, probs, subset_3,
+                y_blue, x_blue,
+                half_idx_y, half_idx_x,
+                new_value,
+            )
+            if det is not None:
+                preds = det["updated_preds"]
+                detections.append(det["detection"])
+
+        return detections
+
+    def _cluster_array(self, arr, probs, point, new_value, current_value,
+                       yet_seen_indices, yet_seen_values, skipped_one):
+        """Recursive neighbourhood clustering — matches S2TD._cluster_array."""
+        if len(yet_seen_indices) == 0:
+            yet_seen_indices.append(point)
+            yet_seen_values.append(current_value)
+
+        arr_mod = arr.copy()
+        arr_mod[point[0], point[1]] = 0
+
+        window_3x3 = pick_arr_subset(arr_mod, point[0], point[1], 3).copy()
+        if window_3x3.shape[0] >= 2 and window_3x3.shape[1] >= 2:
+            cy = min(1, window_3x3.shape[0] - 1)
+            cx = min(1, window_3x3.shape[1] - 1)
+            if window_3x3[cy, cx] == 2:
+                window_3x3[window_3x3 == 4] = 1  # eliminate reds near blue
+
+        y, x = point[0], point[1]
+        window_3x3_probs = pick_arr_subset(probs, y, x, 3)
+
+        windows = [window_3x3]
+        windows_probs = [window_3x3_probs]
+        if current_value == 4 or skipped_one:
+            windows = windows[0:1]
+
+        ys, xs = np.array([], dtype=int), np.array([], dtype=int)
+        window_idx = 0
+        offset_y, offset_x = 0, 0
+
+        while len(ys) == 0 and window_idx < len(windows):
+            window = windows[window_idx]
+            window_p = windows_probs[window_idx]
+            offset_y = window.shape[0] // 2
+            offset_x = window.shape[1] // 2
+
+            go_next = (current_value + 1) in window or current_value == 2
+            target_value = current_value + 1 if go_next else current_value
+            match = window == target_value
+            if np.count_nonzero(match) == 0:
+                target_value = current_value
+                match = window == target_value
+
+            ys_found, xs_found = np.where(match)
+
+            # Probability-based tie-breaking
+            if len(ys_found) > 1 and window_p.ndim == 3 and window_p.shape[0] > (target_value - 1):
+                wp_target = window_p[target_value - 1] * match
+                max_prob_mask = (wp_target == np.max(wp_target))
+                ys_found, xs_found = np.where(max_prob_mask)
+
+            ys, xs = ys_found, xs_found
+            window_idx += 1
+
+        ymin_w = max(0, point[0] - offset_y)
+        xmin_w = max(0, point[1] - offset_x)
+
+        for y_local, x_local in zip(ys, xs):
+            ny, nx = ymin_w + int(y_local), xmin_w + int(x_local)
+            if [ny, nx] in yet_seen_indices:
+                continue
+            if ny < 0 or ny >= arr.shape[0] or nx < 0 or nx >= arr.shape[1]:
+                continue
+            try:
+                cv = arr[ny, nx]
+            except IndexError:
+                continue
+
+            # Red already seen but this is green or blue → skip
+            if 4 in yet_seen_values and cv <= 3:
+                continue
+
+            arr_mod[ny, nx] = new_value
+            yet_seen_indices.append([ny, nx])
+            yet_seen_values.append(cv)
+
+            # Guard: avoid picking many more reds than blues and greens
+            n_blue = sum(1 for v in yet_seen_values if v == 2)
+            n_green = sum(1 for v in yet_seen_values if v == 3)
+            n_red = sum(1 for v in yet_seen_values if v == 4)
+            if n_red > n_blue and n_red > n_green:
+                break
+
+            arr_mod, yet_seen_indices, yet_seen_values, skipped_one = self._cluster_array(
+                arr_mod, probs, [ny, nx], new_value, cv,
+                yet_seen_indices, yet_seen_values, skipped_one,
+            )
+
+        arr_mod[point[0], point[1]] = new_value
+        return arr_mod, yet_seen_indices, yet_seen_values, skipped_one
+
+    def _postprocess_cluster(self, cluster, preds_copy, probs, subset_3,
+                             y_blue, x_blue, half_idx_y, half_idx_x,
+                             new_value):
+        """Validate cluster and produce a detection dict — mirrors S2TD._postprocess_cluster."""
+        # Add neighbouring blues from the 3×3 window
+        ys_ba, xs_ba = np.where(subset_3 == 2)
+        ys_ba = ys_ba + half_idx_y - 1
+        xs_ba = xs_ba + half_idx_x - 1
+        for yb, xb in zip(ys_ba, xs_ba):
+            yb_c = int(np.clip(yb, 0, cluster.shape[0] - 1))
+            xb_c = int(np.clip(xb, 0, cluster.shape[1] - 1))
+            cluster[yb_c, xb_c] = new_value
+
+        cluster[cluster != new_value] = 0
+        cys, cxs = np.where(cluster == new_value)
+        if len(cys) == 0:
+            return None
+
+        # Map subset coords back to full array
+        ymin_sub = int(np.clip(y_blue - half_idx_y, 0, np.inf))
+        xmin_sub = int(np.clip(x_blue - half_idx_x, 0, np.inf))
+        cys_full = cys + ymin_sub
+        cxs_full = cxs + xmin_sub
+
+        ymin = int(np.min(cys_full))
+        xmin = int(np.min(cxs_full))
+        ymax = int(np.max(cys_full)) + 1  # +1: box extends to upper bound of pixel
+        xmax = int(np.max(cxs_full)) + 1
+
+        H, W = preds_copy.shape
+        ymin, ymax = max(0, ymin), min(H, ymax)
+        xmin, xmax = max(0, xmin), min(W, xmax)
+
+        box_preds = preds_copy[ymin:ymax, xmin:xmax].copy()
+        box_probs = probs[1:, ymin:ymax, xmin:xmax].copy()  # classes 2,3,4 → indices 0,1,2
+
+        # Spectral probability scores (exact S2TD logic)
+        max_probs = []
+        for cls_offset, cls_val in enumerate([2, 3, 4]):
+            mask = (box_preds == cls_val)
+            vals = box_probs[cls_offset] * mask
+            mp = float(np.nanmax(vals)) if np.any(mask) else 0.0
+            max_probs.append(mp)
+
+        mean_max_spectral_probability = float(np.nanmean(max_probs))
+        mean_spectral_probability = float(np.nanmean(np.nanmax(box_probs, axis=0)))
+
+        # Validation checks
+        all_given = all(v in box_preds for v in [2, 3, 4])
+        large_enough = box_preds.shape[0] > 2 or box_preds.shape[1] > 2
+        too_large = box_preds.shape[0] > 5 or box_preds.shape[1] > 5
+
+        if too_large or not all_given or not large_enough:
+            return None
+
+        # Score: TWO terms — matches reference
+        score = mean_max_spectral_probability + mean_spectral_probability
+        if score <= 1.2:
+            return None
+
+        # Direction (blue → red vector)
+        by, bx = np.where(box_preds == 2)
+        ry, rx = np.where(box_preds == 4)
+        blue_idx = np.array([by[0], bx[0]], dtype=np.int8)
+        red_idx = np.array([ry[0], rx[0]], dtype=np.int8)
+        vector = (blue_idx - red_idx) * np.array([1, -1], dtype=np.int8)
+        heading = float(np.degrees(np.arctan2(vector[1], vector[0])) % 360)
+
+        # Speed
+        diameter = max(box_preds.shape) * 10 - 10
+        speed_kmh = float(np.sqrt(diameter * 20) / SECONDS_OFFSET_B02_B04 * 3.6)
+
+        # Geo-coordinates (centre of detection box)
+        lat_centre = float((self.lat[ymin] + self.lat[min(ymax, len(self.lat) - 1)]) / 2)
+        lon_centre = float((self.lon[xmin] + self.lon[min(xmax, len(self.lon) - 1)]) / 2)
+
+        # Zero out detected pixels to prevent re-detection
+        preds_copy[ymin:ymax, xmin:xmax] *= np.zeros_like(box_preds)
+        # Also zero 3×3 around blue pixels
+        blue_in_box = np.where(box_preds == 2)
+        for yb, xb in zip(blue_in_box[0], blue_in_box[1]):
+            y0, y1 = max(0, ymin + yb - 1), min(H, ymin + yb + 2)
+            x0, x1 = max(0, xmin + xb - 1), min(W, xmin + xb + 2)
+            preds_copy[y0:y1, x0:x1] *= (preds_copy[y0:y1, x0:x1] != 2).astype(np.int8)
+
+        crop_id = f"truck_{int(time.time() * 1000)}_{ymin}_{xmin}.png"
+
+        return {
+            "updated_preds": preds_copy,
+            "detection": {
+                "lat": lat_centre,
+                "lon": lon_centre,
+                "confidence": float(min(score / 2.4, 1.0)),
+                "s_score": round(score, 3),
+                "speed_kmh": round(speed_kmh, 1),
+                "heading": round(heading, 1),
+                "heading_desc": self._direction_to_compass(heading),
+                "id": crop_id,
+                "image_url": f"/detections/{crop_id}",
+                "box_shape": list(box_preds.shape),
+                "max_probs": {"blue": max_probs[0], "green": max_probs[1], "red": max_probs[2]},
+            },
+        }
+
+    @staticmethod
+    def _direction_to_compass(deg):
+        bins = np.arange(0, 359, 45, dtype=np.float32)
+        labels = ["N", "NE", "E", "SE", "S", "SW", "W", "NW"]
+        return labels[int(np.argmin(np.abs(bins - deg)))]
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# ARGUS Engine
+# ─────────────────────────────────────────────────────────────────────────────
+
+class S2TruckEngine:
+    def __init__(self, *, cache_dir: str, detection_dir: str, rf_model_path: str | None = None):
+        self.cache_dir = cache_dir
+        self.detection_dir = detection_dir
+        os.makedirs(self.detection_dir, exist_ok=True)
+        _configure_osmnx(cache_dir)
+        self.rf_model = load_rf_model(rf_model_path)
+
+    def fetch_roads(self, bbox_coords, progress_cb=None):
+        """Fetch major roads with automatic mirror rotation and fallbacks."""
+        import geopandas as gpd
+        import osmnx as ox
+
+        def log(msg, level="info", pct=None):
+            if level == "info":
+                logger.info(msg)
+            elif level == "warn":
+                logger.warning(msg)
+            if progress_cb:
+                progress_cb(msg, pct)
+
+        min_lat, min_lon, max_lat, max_lon = bbox_coords
+        center_lat = (min_lat + max_lat) / 2
+        center_lon = (min_lon + max_lon) / 2
+
+        lat_span = (max_lat - min_lat) * 111000
+        lon_span = (max_lon - min_lon) * 111000 * np.cos(np.radians(center_lat))
+        dist_m = int(max(lat_span, lon_span) * 0.6) + 1000
+
+        log(f"Starting road discovery (ROI: {center_lat:.4f}, {center_lon:.4f})", pct=5)
+
+        for i, mirror in enumerate(OVERPASS_MIRRORS):
+            log(f"Trying mirror {i+1}/{len(OVERPASS_MIRRORS)}: {mirror}", pct=10 + i * 5)
+            ox.settings.overpass_url = mirror
+            try:
+                graph = ox.graph_from_point(
+                    (center_lat, center_lon), dist=dist_m,
+                    network_type="drive", simplify=True,
+                    retain_all=False, truncate_by_edge=True,
+                )
+                roads = ox.graph_to_gdfs(graph, nodes=False)
+                major_types = [
+                    "motorway", "trunk", "primary", "secondary",
+                    "motorway_link", "trunk_link", "primary_link",
+                ]
+                roads = roads[roads["highway"].isin(major_types)].copy()
+                if not roads.empty:
+                    logger.info(f"Fetched {len(roads)} major roads from {mirror}")
+                    return roads
+            except Exception as e:
+                logger.warning(f"Mirror {mirror} failed: {e}")
+                time.sleep(1)
+
+        # Raw Overpass fallback
+        logger.warning("All mirrors failed. Trying raw Overpass query.")
+        try:
+            query = f"""
+            [out:json][timeout:60];
+            (way["highway"~"motorway|trunk|primary"]({min_lat},{min_lon},{max_lat},{max_lon}););
+            out body; >; out skel qt;
+            """
+            resp = requests.post(OVERPASS_MIRRORS[0], data={"data": query}, timeout=60)
+            if resp.status_code == 200:
+                data = resp.json()
+                nodes = {n["id"]: (n["lon"], n["lat"]) for n in data["elements"] if n["type"] == "node"}
+                ways = []
+                for w in data["elements"]:
+                    if w["type"] == "way" and "nodes" in w:
+                        coords = [nodes[nid] for nid in w["nodes"] if nid in nodes]
+                        if len(coords) > 1:
+                            ways.append({"geometry": LineString(coords), "highway": w["tags"].get("highway")})
+                if ways:
+                    roads = gpd.GeoDataFrame(ways, crs="EPSG:4326")
+                    logger.info(f"Raw fallback: {len(roads)} roads")
+                    return roads
+        except Exception as e:
+            logger.error(f"Raw fallback failed: {e}")
+
+        return gpd.GeoDataFrame()
+
+    def detect_trucks(self, data, bbox_coords, timestamp, road_mask):
+        """
+        Detect trucks using corrected Fisser et al. methodology.
+
+        :param data: (H, W, 5) array — [B04, B03, B02, B08, CLM]
+        :param bbox_coords: [min_lat, min_lon, max_lat, max_lon]
+        :param timestamp: str ISO timestamp
+        :param road_mask: (H, W) binary mask of road pixels
+        :return: list of detection dicts
+        """
+        min_lat, min_lon, max_lat, max_lon = bbox_coords
+        H, W = data.shape[:2]
+
+        # 1. Build feature stack (corrected order)
+        feat = build_feature_stack(data)
+        feature_stack = feat["feature_stack"]
+
+        # 2. Classify (real RF if loaded, proxy fallback otherwise)
+        probs, prediction = classify(feature_stack, road_mask, self.rf_model)
+
+        # 3. Lat/lon arrays for geo-referencing
+        lat_arr = np.linspace(max_lat, min_lat, H)  # top to bottom
+        lon_arr = np.linspace(min_lon, max_lon, W)  # left to right
+
+        # 4. Object extraction (corrected)
+        extractor = ObjectExtractor(probs, lat_arr, lon_arr)
+        detections = extractor.extract(prediction)
+
+        # 5. Add timestamp and save crops
+        for det in detections:
+            det["timestamp"] = timestamp
+            try:
+                self._save_crop(data, det, H, W, min_lat, min_lon, max_lat, max_lon)
+            except Exception as e:
+                logger.warning(f"Could not save crop for {det['id']}: {e}")
+
+        return detections
+
+    def _save_crop(self, data, det, H, W, min_lat, min_lon, max_lat, max_lon):
+        """Save a 20×20 RGB crop centred on the detection."""
+        cy = int((max_lat - det["lat"]) / (max_lat - min_lat + 1e-9) * H)
+        cx = int((det["lon"] - min_lon) / (max_lon - min_lon + 1e-9) * W)
+        cy, cx = int(np.clip(cy, 0, H - 1)), int(np.clip(cx, 0, W - 1))
+
+        y0, y1 = max(0, cy - 10), min(H, cy + 10)
+        x0, x1 = max(0, cx - 10), min(W, cx + 10)
+
+        rgb = data[y0:y1, x0:x1, :3].astype(np.float32)
+        rgb = rescale_s2(rgb)
+        rgb = (np.clip(rgb, 0, 0.3) / 0.3 * 255).astype(np.uint8)
+
+        path = os.path.join(self.detection_dir, det["id"])
+        imageio.imwrite(path, rgb)

backend/services/road_corridor_sat/storage.py

@@ -0,0 +1,145 @@
+"""Disk persistence for road corridor trend runs."""
+from __future__ import annotations
+
+import json
+import logging
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any
+
+from .config import DATA_ROOT, STATE_PATH
+from .presets import CORRIDOR_PRESETS, get_preset
+
+logger = logging.getLogger(__name__)
+
+
+def _utc_now_iso() -> str:
+    return datetime.now(timezone.utc).replace(microsecond=0).isoformat()
+
+
+def preset_result_path(preset_id: str) -> Path:
+    return DATA_ROOT / f"{preset_id}.json"
+
+
+def load_preset_result(preset_id: str) -> dict[str, Any] | None:
+    path = preset_result_path(preset_id)
+    if not path.is_file():
+        return None
+    try:
+        return json.loads(path.read_text(encoding="utf-8"))
+    except (OSError, json.JSONDecodeError) as exc:
+        logger.warning("Could not read road corridor result %s: %s", path, exc)
+        return None
+
+
+def save_preset_result(preset_id: str, payload: dict[str, Any]) -> None:
+    DATA_ROOT.mkdir(parents=True, exist_ok=True)
+    path = preset_result_path(preset_id)
+    path.write_text(json.dumps(payload, indent=2), encoding="utf-8")
+
+
+def load_refresh_state() -> dict[str, str]:
+    if not STATE_PATH.is_file():
+        return {}
+    try:
+        raw = json.loads(STATE_PATH.read_text(encoding="utf-8"))
+        return {str(k): str(v) for k, v in raw.items()}
+    except (OSError, json.JSONDecodeError):
+        return {}
+
+
+def save_refresh_state(state: dict[str, str]) -> None:
+    DATA_ROOT.mkdir(parents=True, exist_ok=True)
+    STATE_PATH.write_text(json.dumps(state, indent=2), encoding="utf-8")
+
+
+def mark_preset_refreshed(preset_id: str) -> None:
+    state = load_refresh_state()
+    state[preset_id] = _utc_now_iso()
+    save_refresh_state(state)
+
+
+def list_corridor_summaries() -> list[dict[str, Any]]:
+    summaries: list[dict[str, Any]] = []
+    for preset in CORRIDOR_PRESETS:
+        stored = load_preset_result(preset["id"])
+        if stored:
+            summaries.append(stored)
+            continue
+        summaries.append(
+            {
+                "preset_id": preset["id"],
+                "label": preset["label"],
+                "bbox": preset["bbox"],
+                "country": preset["country"],
+                "category": preset["category"],
+                "status": "never_run",
+                "daily_counts": [],
+                "total_detections": 0,
+            }
+        )
+    return summaries
+
+
+def build_trends_payload() -> dict[str, Any]:
+    return {
+        "updated_at": _utc_now_iso(),
+        "corridors": list_corridor_summaries(),
+    }
+
+
+def store_analysis_result(
+    preset_id: str,
+    *,
+    label: str,
+    bbox: list[float],
+    country: str,
+    category: str,
+    road_count: int,
+    frame_count: int,
+    detections: list[dict[str, Any]],
+    status: str = "ok",
+    error: str | None = None,
+) -> dict[str, Any]:
+    daily: dict[str, int] = {}
+    for det in detections:
+        ts = str(det.get("timestamp", ""))[:10]
+        if ts:
+            daily[ts] = daily.get(ts, 0) + 1
+    daily_counts = [{"date": d, "count": daily[d]} for d in sorted(daily.keys())]
+    payload = {
+        "preset_id": preset_id,
+        "label": label,
+        "bbox": bbox,
+        "country": country,
+        "category": category,
+        "updated_at": _utc_now_iso(),
+        "road_count": road_count,
+        "frame_count": frame_count,
+        "total_detections": len(detections),
+        "daily_counts": daily_counts,
+        "status": status,
+        "error": error,
+    }
+    save_preset_result(preset_id, payload)
+    mark_preset_refreshed(preset_id)
+    return payload
+
+
+def preset_metadata(preset_id: str) -> dict[str, Any] | None:
+    preset = get_preset(preset_id)
+    if preset is None:
+        return None
+    stored = load_preset_result(preset_id)
+    if stored:
+        return stored
+    return {
+        "preset_id": preset["id"],
+        "label": preset["label"],
+        "bbox": preset["bbox"],
+        "country": preset["country"],
+        "category": preset["category"],
+        "status": "never_run",
+        "daily_counts": [],
+        "total_detections": 0,
+    }

backend/services/road_corridor_sat/viewport.py

@@ -0,0 +1,19 @@
+"""Map-viewport helpers for on-demand corridor analysis."""
+from __future__ import annotations
+
+import hashlib
+
+
+def bbox_around_point(lat: float, lon: float, *, half_span_deg: float = 0.04) -> list[float]:
+    """Square AOI around a map center (~4–5 km half-span, under the 0.5° engine cap)."""
+    span = min(max(half_span_deg, 0.02), 0.24)
+    return [lat - span, lon - span, lat + span, lon + span]
+
+
+def adhoc_preset_id(lat: float, lon: float) -> str:
+    digest = hashlib.sha256(f"{lat:.4f},{lon:.4f}".encode()).hexdigest()[:12]
+    return f"adhoc_{digest}"
+
+
+def default_label_for_point(lat: float, lon: float) -> str:
+    return f"Map center ({lat:.4f}, {lon:.4f})"

backend/services/sanctions/__init__.py

@@ -0,0 +1 @@
+"""Sanctions screening (OpenSanctions OFAC SDN)."""

backend/services/sanctions/ofac.py

@@ -0,0 +1,154 @@
+"""OFAC SDN index via OpenSanctions (adapted from Osiris sanctions.ts)."""
+from __future__ import annotations
+
+import csv
+import io
+import logging
+import re
+import threading
+import time
+from dataclasses import dataclass, field
+from typing import Any
+
+from services.network_utils import fetch_with_curl
+
+logger = logging.getLogger(__name__)
+
+SDN_CSV_URL = "https://data.opensanctions.org/datasets/latest/us_ofac_sdn/targets.simple.csv"
+TTL_S = 24 * 60 * 60
+
+_lock = threading.Lock()
+_cache: dict[str, Any] | None = None
+_cache_at: float = 0.0
+_inflight: threading.Event | None = None
+
+
+@dataclass
+class SanctionEntry:
+    id: str
+    schema: str
+    name: str
+    aliases: list[str] = field(default_factory=list)
+    countries: list[str] = field(default_factory=list)
+    programs: list[str] = field(default_factory=list)
+    sanctions: str = ""
+    first_seen: str | None = None
+    last_seen: str | None = None
+
+    def to_dict(self) -> dict[str, Any]:
+        return {
+            "id": self.id,
+            "schema": self.schema,
+            "name": self.name,
+            "aliases": self.aliases,
+            "countries": self.countries,
+            "programs": self.programs,
+            "sanctions": self.sanctions,
+            "first_seen": self.first_seen,
+            "last_seen": self.last_seen,
+        }
+
+
+def norm_name(s: str) -> str:
+    s = re.sub(r"[^\w\s]+", " ", s.lower(), flags=re.UNICODE)
+    return re.sub(r"\s+", " ", s).strip()
+
+
+def _split_semi(val: str) -> list[str]:
+    return [x.strip() for x in (val or "").split(";") if x.strip()]
+
+
+def _load_list() -> dict[str, Any]:
+    global _cache, _cache_at
+    with _lock:
+        if _cache and (time.time() - _cache_at) < TTL_S:
+            return _cache
+
+    try:
+        resp = fetch_with_curl(SDN_CSV_URL, timeout=45, headers={"Accept": "text/csv"})
+        if resp.status_code != 200:
+            raise RuntimeError(f"OpenSanctions HTTP {resp.status_code}")
+        text = resp.text
+        reader = csv.DictReader(io.StringIO(text))
+        entries: list[SanctionEntry] = []
+        by_norm: dict[str, list[SanctionEntry]] = {}
+        for row in reader:
+            name = (row.get("name") or "").strip()
+            if not name:
+                continue
+            entry = SanctionEntry(
+                id=row.get("id") or "",
+                schema=row.get("schema") or "LegalEntity",
+                name=name,
+                aliases=_split_semi(row.get("aliases") or ""),
+                countries=_split_semi(row.get("countries") or ""),
+                programs=_split_semi(row.get("program_ids") or ""),
+                sanctions=row.get("sanctions") or "",
+                first_seen=row.get("first_seen") or None,
+                last_seen=row.get("last_seen") or None,
+            )
+            entries.append(entry)
+            for key in {norm_name(name), *(norm_name(a) for a in entry.aliases)}:
+                if not key:
+                    continue
+                by_norm.setdefault(key, []).append(entry)
+        loaded = {"entries": entries, "by_norm": by_norm, "fetched_at": time.time()}
+        with _lock:
+            _cache = loaded
+            _cache_at = time.time()
+        logger.info("OFAC SDN index loaded: %s entries", len(entries))
+        return loaded
+    except Exception as exc:
+        logger.error("OFAC SDN load failed: %s", exc)
+        with _lock:
+            if _cache:
+                return _cache
+        raise
+
+
+def match_exact(query: str) -> list[dict[str, Any]]:
+    if not query or len(query) < 3:
+        return []
+    data = _load_list()
+    hits = data["by_norm"].get(norm_name(query), [])
+    return [e.to_dict() for e in hits]
+
+
+def search_sanctions(query: str, *, schema: str | None = None, limit: int = 50) -> list[dict[str, Any]]:
+    if not query or len(query) < 4:
+        return []
+    data = _load_list()
+    q = norm_name(query)
+    exact_name: list[SanctionEntry] = []
+    exact_alias: list[SanctionEntry] = []
+    sub_name: list[SanctionEntry] = []
+    sub_alias: list[SanctionEntry] = []
+    seen: set[str] = set()
+
+    def push(bucket: list[SanctionEntry], entry: SanctionEntry) -> None:
+        if entry.id in seen:
+            return
+        if schema and entry.schema != schema:
+            return
+        seen.add(entry.id)
+        bucket.append(entry)
+
+    for entry in data["entries"]:
+        name_norm = norm_name(entry.name)
+        if name_norm == q:
+            push(exact_name, entry)
+        elif any(norm_name(a) == q for a in entry.aliases):
+            push(exact_alias, entry)
+        elif q in name_norm:
+            push(sub_name, entry)
+        elif any(q in norm_name(a) for a in entry.aliases):
+            push(sub_alias, entry)
+        if len(seen) >= limit * 4:
+            break
+
+    ordered = exact_name + exact_alias + sub_name + sub_alias
+    return [e.to_dict() for e in ordered[:limit]]
+
+
+def index_size() -> int:
+    return len(_load_list()["entries"])

backend/services/scm/__init__.py

@@ -0,0 +1 @@
+"""Supply-chain risk overlay."""

backend/services/scm/suppliers.py

@@ -0,0 +1,154 @@
+"""SCM supplier risk overlay (Osiris port, uses in-memory dashboard data)."""
+from __future__ import annotations
+
+import math
+from datetime import datetime, timezone
+from typing import Any
+
+from services.fetchers._store import _data_lock, _mark_fresh, get_latest_data_subset_refs, is_any_active, latest_data
+from services.network_utils import fetch_with_curl
+
+SUPPLIERS: list[dict[str, Any]] = [
+    {"id": "sup-tsmc-hsinchu", "name": "TSMC Fab 12 (Tier 1)", "city": "Hsinchu", "country": "Taiwan", "lat": 24.774, "lng": 120.992, "category": "Semiconductor"},
+    {"id": "sup-tsmc-tainan", "name": "TSMC Fab 14 (Tier 1)", "city": "Tainan", "country": "Taiwan", "lat": 23.111, "lng": 120.273, "category": "Semiconductor"},
+    {"id": "sup-sec-giheung", "name": "Samsung Electronics (Tier 1)", "city": "Giheung", "country": "South Korea", "lat": 37.221, "lng": 127.098, "category": "Semiconductor"},
+    {"id": "sup-sk-icheon", "name": "SK Hynix (Tier 1)", "city": "Icheon", "country": "South Korea", "lat": 37.256, "lng": 127.483, "category": "Semiconductor"},
+    {"id": "sup-sony-kumamoto", "name": "Sony Semiconductor (Tier 2)", "city": "Kikuyo", "country": "Japan", "lat": 32.883, "lng": 130.825, "category": "Electronics"},
+    {"id": "sup-mlcc-murata", "name": "Murata MLCC (Tier 2)", "city": "Izumo", "country": "Japan", "lat": 35.361, "lng": 132.756, "category": "Electronics"},
+    {"id": "sup-bosch-stuttgart", "name": "Bosch Auto Parts (Tier 1)", "city": "Stuttgart", "country": "Germany", "lat": 48.815, "lng": 9.176, "category": "Automotive"},
+    {"id": "sup-zf-bavaria", "name": "ZF Friedrichshafen (Tier 1)", "city": "Friedrichshafen", "country": "Germany", "lat": 47.662, "lng": 9.489, "category": "Automotive"},
+    {"id": "sup-valeo-paris", "name": "Valeo R&D (Tier 2)", "city": "Paris", "country": "France", "lat": 48.878, "lng": 2.308, "category": "Automotive"},
+    {"id": "sup-magna-celaya", "name": "Magna Assembly (Tier 2)", "city": "Celaya", "country": "Mexico", "lat": 20.525, "lng": -100.814, "category": "Automotive"},
+    {"id": "sup-denso-monterrey", "name": "Denso Corp (Tier 1)", "city": "Monterrey", "country": "Mexico", "lat": 25.772, "lng": -100.174, "category": "Automotive"},
+    {"id": "sup-catl-ningde", "name": "CATL Battery HQ (Tier 1)", "city": "Ningde", "country": "China", "lat": 26.666, "lng": 119.544, "category": "Battery"},
+    {"id": "sup-byd-shenzhen", "name": "BYD Gigafactory (Tier 1)", "city": "Shenzhen", "country": "China", "lat": 22.684, "lng": 114.341, "category": "Battery"},
+    {"id": "sup-panasonic-nevada", "name": "Panasonic Giga (Tier 1)", "city": "Sparks", "country": "US", "lat": 39.539, "lng": -119.439, "category": "Battery"},
+]
+
+
+def _distance_km(lat1: float, lng1: float, lat2: float, lng2: float) -> float:
+    dx = (lng1 - lng2) * math.cos(math.radians((lat1 + lat2) / 2))
+    dy = lat1 - lat2
+    return math.sqrt(dx * dx + dy * dy) * 111.32
+
+
+def _seismic_risk_level(distance_km: float, magnitude: float) -> str | None:
+    """Meaningful fab impact only — ignore routine micro-quakes (e.g. Taiwan M3.x)."""
+    if magnitude < 4.5:
+        return None
+    if magnitude >= 6.0 and distance_km <= 200:
+        return "CRITICAL"
+    if magnitude >= 5.5 and distance_km <= 75:
+        return "CRITICAL"
+    if magnitude >= 5.0 and distance_km <= 100:
+        return "HIGH"
+    if magnitude >= 4.5 and distance_km <= 40:
+        return "HIGH"
+    return None
+
+
+def _apply_seismic_threats(suppliers: list[dict[str, Any]], earthquakes: list[dict[str, Any]]) -> None:
+    for sup in suppliers:
+        best: tuple[str, float] | None = None
+        for eq in earthquakes:
+            lat = eq.get("lat")
+            lng = eq.get("lng") or eq.get("lon")
+            mag = float(eq.get("mag") or eq.get("magnitude") or 0)
+            if lat is None or lng is None or mag < 4.5:
+                continue
+            dist = _distance_km(sup["lat"], sup["lng"], float(lat), float(lng))
+            level = _seismic_risk_level(dist, mag)
+            if not level:
+                continue
+            severity = {"HIGH": 1, "CRITICAL": 2}
+            if best is None:
+                best = (level, mag)
+            else:
+                cur = severity[level]
+                prev = severity[best[0]]
+                if cur > prev or (cur == prev and mag > best[1]):
+                    best = (level, mag)
+        if best:
+            level, mag = best
+            if sup["risk_level"] == "NORMAL" or (
+                level == "CRITICAL" and sup["risk_level"] != "CRITICAL"
+            ):
+                sup["risk_level"] = level
+            elif level == "CRITICAL" and sup["risk_level"] == "HIGH":
+                sup["risk_level"] = "CRITICAL"
+            sup["active_threats"].append(f"SEISMIC PROXIMITY (M{mag:.1f})")
+
+
+def build_scm_payload() -> dict[str, Any]:
+    suppliers = [{**s, "risk_level": "NORMAL", "active_threats": []} for s in SUPPLIERS]
+    refs = get_latest_data_subset_refs("earthquakes", "firms_fires", "gdelt")
+
+    earthquakes = refs.get("earthquakes") or []
+    _apply_seismic_threats(suppliers, earthquakes)
+
+    fires = refs.get("firms_fires") or []
+    for sup in suppliers:
+        count = 0
+        for fire in fires:
+            lat = fire.get("lat") or fire.get("latitude")
+            lng = fire.get("lng") or fire.get("lon") or fire.get("longitude")
+            if lat is None or lng is None:
+                continue
+            if _distance_km(sup["lat"], sup["lng"], float(lat), float(lng)) < 50:
+                count += 1
+        if count:
+            if sup["risk_level"] == "NORMAL":
+                sup["risk_level"] = "HIGH"
+            sup["active_threats"].append(f"WILDFIRE PROXIMITY ({count} hotspots)")
+
+    conflicts = refs.get("gdelt") or []
+    for sup in suppliers:
+        for event in conflicts:
+            lat = event.get("lat")
+            lng = event.get("lng") or event.get("lon")
+            if lat is None or lng is None:
+                continue
+            if _distance_km(sup["lat"], sup["lng"], float(lat), float(lng)) < 100:
+                sup["risk_level"] = "CRITICAL"
+                sup["active_threats"].append("ARMED CONFLICT / RIOT")
+                break
+
+    # USGS fallback if earthquakes empty
+    if not earthquakes:
+        try:
+            resp = fetch_with_curl(
+                "https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/4.5_day.geojson",
+                timeout=5,
+            )
+            if resp.status_code == 200:
+                features = resp.json().get("features") or []
+                usgs_quakes = [
+                    {
+                        "lat": f.get("geometry", {}).get("coordinates", [None, None])[1],
+                        "lng": f.get("geometry", {}).get("coordinates", [None, None])[0],
+                        "mag": f.get("properties", {}).get("mag") or 0,
+                    }
+                    for f in features
+                    if len(f.get("geometry", {}).get("coordinates") or []) >= 2
+                ]
+                _apply_seismic_threats(suppliers, usgs_quakes)
+        except Exception:
+            pass
+
+    critical = sum(1 for s in suppliers if s["risk_level"] == "CRITICAL")
+    return {
+        "suppliers": suppliers,
+        "total": len(suppliers),
+        "critical_count": critical,
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+    }
+
+
+def fetch_scm_suppliers() -> dict[str, Any]:
+    if not is_any_active("scm_suppliers"):
+        return latest_data.get("scm_suppliers") or {}
+    payload = build_scm_payload()
+    with _data_lock:
+        latest_data["scm_suppliers"] = payload
+    _mark_fresh("scm_suppliers")
+    return payload

backend/services/sentinel_search.py

@@ -26,6 +26,46 @@ def _planetary_user_agent() -> str:
     return outbound_user_agent("sentinel2-planetary-computer")
 
 
+def _sign_planetary_href(href: str) -> str:
+    """Sign a Planetary Computer blob URL with a short-lived SAS token."""
+    if not href or "blob.core.windows.net" not in href:
+        return href
+    try:
+        account = href.split(".blob.core.windows.net")[0].split("//")[-1]
+        token_resp = requests.get(
+            f"https://planetarycomputer.microsoft.com/api/sas/v1/token/{account}",
+            timeout=5,
+            headers={"User-Agent": _planetary_user_agent()},
+        )
+        token_resp.raise_for_status()
+        token = token_resp.json().get("token", "")
+        if not token:
+            return href
+        sep = "&" if "?" in href else "?"
+        return f"{href}{sep}{token}"
+    except (requests.RequestException, ValueError, KeyError):
+        return href
+
+
+def _scene_from_stac_feature(item: dict) -> dict:
+    assets = item.get("assets", {}) or {}
+    rendered = assets.get("rendered_preview") or {}
+    thumbnail = assets.get("thumbnail") or {}
+    props = item.get("properties", {}) or {}
+    thumb_href = _sign_planetary_href(thumbnail.get("href") or rendered.get("href") or "")
+    full_href = _sign_planetary_href(rendered.get("href") or thumbnail.get("href") or "")
+    return {
+        "found": True,
+        "scene_id": item.get("id"),
+        "datetime": props.get("datetime"),
+        "cloud_cover": props.get("eo:cloud_cover"),
+        "thumbnail_url": thumb_href or None,
+        "fullres_url": full_href or None,
+        "bbox": list(item.get("bbox", [])) if item.get("bbox") else None,
+        "platform": props.get("platform", "Sentinel-2"),
+    }
+
+
 def _esri_imagery_fallback(lat: float, lng: float) -> dict:
     lat_span = 0.18
     lng_span = 0.24
@@ -53,14 +93,14 @@ def _esri_imagery_fallback(lat: float, lng: float) -> dict:
 
 
 def search_sentinel2_scene(lat: float, lng: float) -> dict:
-    """Search for the latest Sentinel-2 L2A scene covering a point."""
+    """Search for up to 3 recent Sentinel-2 L2A scenes covering a point."""
     cache_key = f"{round(lat, 2)}_{round(lng, 2)}"
     if cache_key in _sentinel_cache:
         return _sentinel_cache[cache_key]
 
     try:
         end = datetime.utcnow()
-        start = end - timedelta(days=30)
+        start = end - timedelta(days=60)
         search_payload = {
             "collections": ["sentinel-2-l2a"],
             "intersects": {"type": "Point", "coordinates": [lng, lat]},
@@ -83,26 +123,8 @@ def search_sentinel2_scene(lat: float, lng: float) -> dict:
             _sentinel_cache[cache_key] = result
             return result
 
-        item = features[0]
-        assets = item.get("assets", {}) or {}
-        rendered = assets.get("rendered_preview") or {}
-        thumbnail = assets.get("thumbnail") or {}
-
-        # Full-res image URL — what opens when user clicks
-        fullres_url = rendered.get("href") or thumbnail.get("href")
-        # Thumbnail URL — what shows in the popup card
-        thumb_url = thumbnail.get("href") or rendered.get("href")
-
-        result = {
-            "found": True,
-            "scene_id": item.get("id"),
-            "datetime": item.get("properties", {}).get("datetime"),
-            "cloud_cover": item.get("properties", {}).get("eo:cloud_cover"),
-            "thumbnail_url": thumb_url,
-            "fullres_url": fullres_url,
-            "bbox": list(item.get("bbox", [])) if item.get("bbox") else None,
-            "platform": item.get("properties", {}).get("platform", "Sentinel-2"),
-        }
+        scenes = [_scene_from_stac_feature(item) for item in features[:3]]
+        result = {**scenes[0], "scenes": scenes}
         _sentinel_cache[cache_key] = result
         return result
 

backend/services/slo.py

@@ -58,7 +58,7 @@ SLO_REGISTRY: Dict[str, SLO] = {
     "uap_sightings": SLO(
         max_age_s=26 * _HOUR,
         min_rows=50,
-        description="NUFORC rolling 60-day window (daily refresh)",
+        description="NUFORC rolling 60-day window (weekly refresh)",
     ),
     "wastewater": SLO(
         max_age_s=30 * _HOUR,

backend/services/ssrf_guard.py

@@ -0,0 +1,141 @@
+"""SSRF guard for operator-initiated recon (ported from Osiris ssrf-guard.ts)."""
+from __future__ import annotations
+
+import ipaddress
+import re
+import socket
+from typing import Any
+from urllib.parse import urljoin, urlparse
+
+import requests
+
+_IPV4_BLOCKS = [
+    ipaddress.ip_network("0.0.0.0/8"),
+    ipaddress.ip_network("10.0.0.0/8"),
+    ipaddress.ip_network("100.64.0.0/10"),
+    ipaddress.ip_network("127.0.0.0/8"),
+    ipaddress.ip_network("169.254.0.0/16"),
+    ipaddress.ip_network("172.16.0.0/12"),
+    ipaddress.ip_network("192.0.0.0/24"),
+    ipaddress.ip_network("192.0.2.0/24"),
+    ipaddress.ip_network("192.168.0.0/16"),
+    ipaddress.ip_network("198.18.0.0/15"),
+    ipaddress.ip_network("198.51.100.0/24"),
+    ipaddress.ip_network("203.0.113.0/24"),
+    ipaddress.ip_network("224.0.0.0/4"),
+    ipaddress.ip_network("240.0.0.0/4"),
+]
+
+_NAME_BLOCKLIST = (
+    re.compile(r"^localhost$", re.I),
+    re.compile(r"\.localhost$", re.I),
+    re.compile(r"^host\.docker\.internal$", re.I),
+    re.compile(r"\.local$", re.I),
+    re.compile(r"\.internal$", re.I),
+    re.compile(r"^metadata\.google\.internal$", re.I),
+)
+
+_HOSTNAME_RE = re.compile(
+    r"^[a-zA-Z0-9]([a-zA-Z0-9-]*[a-zA-Z0-9])?(\.[a-zA-Z0-9]([a-zA-Z0-9-]*[a-zA-Z0-9])?)*$"
+)
+
+
+def _ipv4_blocked(ip: str) -> bool:
+    try:
+        addr = ipaddress.ip_address(ip)
+    except ValueError:
+        return True
+    if not isinstance(addr, ipaddress.IPv4Address):
+        return False
+    return any(addr in net for net in _IPV4_BLOCKS)
+
+
+def _ip_blocked(ip: str) -> bool:
+    try:
+        addr = ipaddress.ip_address(ip)
+    except ValueError:
+        return True
+    if isinstance(addr, ipaddress.IPv4Address):
+        return _ipv4_blocked(ip)
+    return (
+        addr.is_loopback
+        or addr.is_private
+        or addr.is_link_local
+        or addr.is_multicast
+        or addr.is_reserved
+        or addr.is_unspecified
+    )
+
+
+def validate_host(host: str) -> dict[str, Any]:
+    trimmed = (host or "").strip()
+    if not trimmed:
+        return {"ok": False, "reason": "empty host"}
+    bracketed = trimmed.strip("[]")
+    lower = trimmed.lower()
+    if any(p.search(lower) for p in _NAME_BLOCKLIST):
+        return {"ok": False, "reason": "hostname matches reserved name pattern"}
+
+    try:
+        ipaddress.ip_address(bracketed)
+        is_literal = True
+    except ValueError:
+        is_literal = False
+
+    if is_literal:
+        if _ip_blocked(bracketed):
+            return {"ok": False, "reason": "IP in reserved range"}
+        return {"ok": True, "resolved": [bracketed]}
+
+    if not _HOSTNAME_RE.match(trimmed):
+        return {"ok": False, "reason": "invalid hostname syntax"}
+
+    try:
+        infos = socket.getaddrinfo(trimmed, None, proto=socket.IPPROTO_TCP)
+    except OSError as exc:
+        return {"ok": False, "reason": f"DNS lookup failed: {exc}"}
+    if not infos:
+        return {"ok": False, "reason": "hostname has no A/AAAA records"}
+
+    resolved: list[str] = []
+    for info in infos:
+        addr = info[4][0]
+        if _ip_blocked(addr):
+            return {"ok": False, "reason": f"hostname resolves to reserved IP {addr}"}
+        resolved.append(addr)
+    return {"ok": True, "resolved": resolved}
+
+
+def safe_get(
+    url: str,
+    *,
+    timeout: float = 8.0,
+    headers: dict[str, str] | None = None,
+    max_redirects: int = 3,
+) -> requests.Response:
+    current = url
+    for _ in range(max_redirects + 1):
+        parsed = urlparse(current)
+        if parsed.scheme not in ("http", "https"):
+            raise ValueError(f"blocked protocol {parsed.scheme}")
+        check = validate_host(parsed.hostname or "")
+        if not check.get("ok"):
+            raise ValueError(f"blocked target — {check.get('reason')}")
+        res = requests.get(
+            current,
+            timeout=timeout,
+            headers=headers or {},
+            allow_redirects=False,
+        )
+        if 300 <= res.status_code < 400:
+            loc = res.headers.get("location")
+            if not loc:
+                return res
+            current = urljoin(current, loc)
+            continue
+        return res
+    raise ValueError("too many redirects")
+
+
+def validate_domain(domain: str) -> bool:
+    return bool(re.match(r"^[a-zA-Z0-9][a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$", domain or ""))

backend/services/telemetry.py

@@ -93,6 +93,10 @@ _SLOW_KEYS = (
     "sar_scenes",
     "sar_anomalies",
     "sar_aoi_coverage",
+    "malware_threats",
+    "cyber_threats",
+    "scm_suppliers",
+    "telegram_osint",
 )
 
 
@@ -158,6 +162,20 @@ _ENTITY_LAYER_ALIASES = {
     "uap_sightings": "uap_sightings",
     "wastewater": "wastewater",
     "pins": "pins",
+    "telegram": "telegram_osint",
+    "telegram_osint": "telegram_osint",
+    "osint_feed": "telegram_osint",
+    "malware": "malware_threats",
+    "malware_threats": "malware_threats",
+    "malware_c2": "malware_threats",
+    "botnet": "malware_threats",
+    "cyber": "cyber_threats",
+    "cyber_threats": "cyber_threats",
+    "cisa": "cyber_threats",
+    "kev": "cyber_threats",
+    "scm": "scm_suppliers",
+    "scm_suppliers": "scm_suppliers",
+    "suppliers": "scm_suppliers",
 }
 
 _SLICEABLE_LAYERS = tuple(dict.fromkeys(_FAST_KEYS + _SLOW_KEYS))
@@ -188,6 +206,21 @@ _LAYER_ALIASES = {
     "sar_coverage": "sar_aoi_coverage",
     # Satellite analysis (maneuvers, decay, Starlink)
     "satellite_analysis": "satellite_analysis",
+    # OSINT / cyber / supply-chain overlays
+    "telegram": "telegram_osint",
+    "telegram_osint": "telegram_osint",
+    "osint_feed": "telegram_osint",
+    "malware": "malware_threats",
+    "malware_threats": "malware_threats",
+    "malware_c2": "malware_threats",
+    "botnet": "malware_threats",
+    "cyber": "cyber_threats",
+    "cyber_threats": "cyber_threats",
+    "cisa": "cyber_threats",
+    "kev": "cyber_threats",
+    "scm": "scm_suppliers",
+    "scm_suppliers": "scm_suppliers",
+    "suppliers": "scm_suppliers",
 }
 
 _UNIVERSAL_SEARCH_DEFAULT_LAYERS = (
@@ -225,6 +258,10 @@ _UNIVERSAL_SEARCH_DEFAULT_LAYERS = (
     "tinygs_satellites",
     "psk_reporter",
     "ukraine_alerts",
+    "telegram_osint",
+    "malware_threats",
+    "cyber_threats",
+    "scm_suppliers",
 )
 
 _GENERIC_QUERY_STOPWORDS = {
@@ -269,7 +306,19 @@ _GENERIC_LAYER_HINTS: dict[str, tuple[str, ...]] = {
     "protest": ("crowdthreat", "gdelt", "news", "frontlines", "liveuamap"),
     "riot": ("crowdthreat", "gdelt", "news", "frontlines", "liveuamap"),
     "event": ("crowdthreat", "gdelt", "news", "frontlines", "liveuamap"),
-    "news": ("news", "gdelt", "crowdthreat", "frontlines", "liveuamap"),
+    "news": ("news", "gdelt", "crowdthreat", "frontlines", "liveuamap", "telegram_osint"),
+    "telegram": ("telegram_osint",),
+    "osint": ("telegram_osint", "gdelt", "news", "crowdthreat"),
+    "channel": ("telegram_osint",),
+    "malware": ("malware_threats",),
+    "botnet": ("malware_threats",),
+    "c2": ("malware_threats",),
+    "cve": ("cyber_threats",),
+    "cisa": ("cyber_threats",),
+    "cyber": ("cyber_threats", "malware_threats"),
+    "supplier": ("scm_suppliers",),
+    "scm": ("scm_suppliers",),
+    "semiconductor": ("scm_suppliers",),
     "plant": ("power_plants", "wastewater"),
     "datacenter": ("datacenters",),
     "data": ("datacenters",),
@@ -314,6 +363,10 @@ _SEARCH_GROUP_BY_LAYER = {
     "kiwisdr": "signals",
     "psk_reporter": "signals",
     "ukraine_alerts": "events",
+    "telegram_osint": "events",
+    "malware_threats": "cyber",
+    "cyber_threats": "cyber",
+    "scm_suppliers": "infrastructure",
 }
 
 _SEARCH_QUERY_SYNONYMS: dict[str, tuple[str, ...]] = {
@@ -328,6 +381,9 @@ _SEARCH_QUERY_SYNONYMS: dict[str, tuple[str, ...]] = {
     "plants": ("plant",),
     "cameras": ("camera",),
     "radios": ("radio",),
+    "telegrams": ("telegram",),
+    "channels": ("channel",),
+    "suppliers": ("supplier",),
 }
 
 _SEARCH_INDEX_LOCK = threading.Lock()
@@ -653,6 +709,42 @@ _UNIVERSAL_SEARCH_SPECS: dict[str, dict[str, Any]] = {
         "id_fields": ("id",),
         "time_fields": ("updated_at", "timestamp"),
     },
+    "telegram_osint": {
+        "fields": ("title", "description", "source", "channel", "link"),
+        "primary_fields": ("title", "description", "channel"),
+        "label_fields": ("title", "channel"),
+        "summary_fields": ("description", "source"),
+        "type_fields": ("channel", "source"),
+        "id_fields": ("id", "link"),
+        "time_fields": ("published", "timestamp"),
+    },
+    "malware_threats": {
+        "fields": ("ip", "malware", "status", "country", "threat_type"),
+        "primary_fields": ("ip", "malware", "country"),
+        "label_fields": ("ip", "malware"),
+        "summary_fields": ("status", "country", "threat_type"),
+        "type_fields": ("threat_type", "malware"),
+        "id_fields": ("id", "ip"),
+        "time_fields": ("first_seen", "last_online", "timestamp"),
+    },
+    "cyber_threats": {
+        "fields": ("id", "name", "vendor", "product", "severity", "source"),
+        "primary_fields": ("id", "name", "vendor", "product"),
+        "label_fields": ("id", "name"),
+        "summary_fields": ("vendor", "product", "severity", "source"),
+        "type_fields": ("severity", "source"),
+        "id_fields": ("id",),
+        "time_fields": ("date", "due", "timestamp"),
+    },
+    "scm_suppliers": {
+        "fields": ("name", "city", "country", "category", "risk_level"),
+        "primary_fields": ("name", "city", "country", "category"),
+        "label_fields": ("name", "city"),
+        "summary_fields": ("country", "category", "risk_level"),
+        "type_fields": ("category", "risk_level"),
+        "id_fields": ("id",),
+        "time_fields": ("timestamp",),
+    },
 }
 
 
@@ -734,6 +826,11 @@ def _extract_coords(candidate: dict[str, Any]) -> tuple[float | None, float | No
         if isinstance(coords, (list, tuple)) and len(coords) >= 2:
             lng = lng if lng is not None else _coerce_float(coords[0])
             lat = lat if lat is not None else _coerce_float(coords[1])
+    if lat is None or lng is None:
+        coords = candidate.get("coords")
+        if isinstance(coords, (list, tuple)) and len(coords) >= 2:
+            lat = lat if lat is not None else _coerce_float(coords[0])
+            lng = lng if lng is not None else _coerce_float(coords[1])
     return lat, lng
 
 
@@ -832,6 +929,53 @@ def _layer_group(layer: str) -> str:
     return _SEARCH_GROUP_BY_LAYER.get(layer, "other")
 
 
+_LAYER_NESTED_LIST_KEYS: dict[str, tuple[str, ...]] = {
+    "telegram_osint": ("posts",),
+    "malware_threats": ("threats",),
+    "cyber_threats": ("threats",),
+    "scm_suppliers": ("suppliers",),
+}
+_DEFAULT_NESTED_LIST_KEYS = (
+    "items",
+    "results",
+    "vessels",
+    "features",
+    "posts",
+    "threats",
+    "suppliers",
+)
+
+
+def _unwrap_layer_items(value: Any, layer: str = "") -> list[Any]:
+    """Return the searchable/geospatial item list inside a layer value."""
+    if isinstance(value, list):
+        return value
+    if not isinstance(value, dict):
+        return []
+    keys = _LAYER_NESTED_LIST_KEYS.get(layer, _DEFAULT_NESTED_LIST_KEYS)
+    for key in keys:
+        nested = value.get(key)
+        if isinstance(nested, list):
+            return nested
+    return []
+
+
+def _layer_record_count(value: Any, layer: str = "") -> int:
+    if isinstance(value, list):
+        return len(value)
+    if isinstance(value, dict):
+        total = value.get("total")
+        if isinstance(total, (int, float)):
+            return int(total)
+        items = _unwrap_layer_items(value, layer)
+        if items:
+            return len(items)
+        return len(value) if value else 0
+    if value is None:
+        return 0
+    return 1
+
+
 def _build_search_document(doc_id: int, layer: str, candidate: dict[str, Any], spec: dict[str, Any]) -> dict[str, Any]:
     fields = tuple(spec.get("fields", ()))
     text = _document_text(candidate, fields)
@@ -880,9 +1024,7 @@ def _get_search_index() -> dict[str, Any]:
 
         for layer in layers:
             spec = _UNIVERSAL_SEARCH_SPECS[layer]
-            items = snap.get(layer) or []
-            if isinstance(items, dict):
-                items = items.get("items", []) or items.get("results", []) or items.get("vessels", [])
+            items = _unwrap_layer_items(snap.get(layer), layer)
             if not isinstance(items, list):
                 continue
             for item in items:
@@ -1144,18 +1286,9 @@ def get_telemetry_summary() -> dict[str, Any]:
 
     for layer in layer_names:
         value = snap.get(layer)
-        if isinstance(value, list):
-            counts[layer] = len(value)
-            if value:
-                non_empty_layers.append(layer)
-        elif isinstance(value, dict):
-            counts[layer] = len(value)
-            if value:
-                non_empty_layers.append(layer)
-        elif value is None:
-            counts[layer] = 0
-        else:
-            counts[layer] = 1
+        count = _layer_record_count(value, layer)
+        counts[layer] = count
+        if count > 0:
             non_empty_layers.append(layer)
 
     alias_examples = {
@@ -1167,6 +1300,16 @@ def get_telemetry_summary() -> dict[str, Any]:
         "tracked": "tracked_flights",
         "military": "military_flights",
         "jets": "private_jets",
+        "telegram": "telegram_osint",
+        "osint_feed": "telegram_osint",
+        "malware": "malware_threats",
+        "malware_c2": "malware_threats",
+        "botnet": "malware_threats",
+        "cyber": "cyber_threats",
+        "cisa": "cyber_threats",
+        "kev": "cyber_threats",
+        "scm": "scm_suppliers",
+        "suppliers": "scm_suppliers",
     }
 
     return {
@@ -1577,14 +1720,7 @@ def _nearby_items_from_layers(
     snap = get_latest_data_subset_refs(*layers)
     out: dict[str, list[dict[str, Any]]] = {}
     for layer in layers:
-        value = snap.get(layer) or []
-        if isinstance(value, dict):
-            if layer == "gdelt" and isinstance(value.get("features"), list):
-                items = value.get("features") or []
-            else:
-                items = value.get("items") or value.get("features") or value.get("vessels") or []
-        else:
-            items = value
+        items = _unwrap_layer_items(snap.get(layer), layer)
         if not isinstance(items, list):
             continue
         matches: list[dict[str, Any]] = []
@@ -1728,6 +1864,9 @@ def correlate_entity(
             "crowdthreat",
             "frontlines",
             "liveuamap",
+            "telegram_osint",
+            "malware_threats",
+            "scm_suppliers",
             "military_bases",
             "datacenters",
             "power_plants",
@@ -1809,13 +1948,17 @@ def search_news(
     query: str,
     limit: int = 10,
     include_gdelt: bool = True,
+    include_telegram: bool = True,
 ) -> dict[str, Any]:
     """Search news and event layers server-side and return a compact result set."""
     query_norm = _norm_text(query)
     if not query_norm:
         return {"results": [], "version": get_data_version(), "truncated": False}
 
-    snap = get_latest_data_subset_refs("news", "gdelt", "crowdthreat", "liveuamap", "frontlines")
+    layer_keys = ["news", "gdelt", "crowdthreat", "liveuamap", "frontlines"]
+    if include_telegram:
+        layer_keys.append("telegram_osint")
+    snap = get_latest_data_subset_refs(*layer_keys)
     out: list[dict[str, Any]] = []
     limit = _coerce_limit(limit, default=10, maximum=50)
 
@@ -1941,6 +2084,36 @@ def search_news(
             if len(out) >= limit:
                 return {"results": out, "version": get_data_version(), "truncated": True}
 
+    if include_telegram:
+        for post in _unwrap_layer_items(snap.get("telegram_osint"), "telegram_osint"):
+            if not isinstance(post, dict):
+                continue
+            text = " ".join(
+                (
+                    _norm_text(post.get("title")),
+                    _norm_text(post.get("description")),
+                    _norm_text(post.get("source")),
+                    _norm_text(post.get("channel")),
+                )
+            )
+            if not _text_matches_query(query_norm, text):
+                continue
+            lat, lng = _extract_coords(post)
+            out.append(
+                {
+                    "source_layer": "telegram_osint",
+                    "title": post.get("title") or "",
+                    "summary": post.get("description") or "",
+                    "source": post.get("source") or post.get("channel") or "Telegram",
+                    "link": post.get("link") or "",
+                    "lat": lat,
+                    "lng": lng,
+                    "risk_score": post.get("risk_score"),
+                }
+            )
+            if len(out) >= limit:
+                return {"results": out, "version": get_data_version(), "truncated": True}
+
     return {"results": out, "version": get_data_version(), "truncated": False}
 
 
@@ -2205,16 +2378,13 @@ def entities_near(
     out: list[dict[str, Any]] = []
 
     for layer in layers:
-        items = snap.get(layer) or []
-        if isinstance(items, dict):
-            items = items.get("vessels", []) or items.get("items", [])
+        items = _unwrap_layer_items(snap.get(layer), layer)
         if not isinstance(items, list):
             continue
         for item in items:
             if not isinstance(item, dict):
                 continue
-            item_lat = _coerce_float(item.get("lat") or item.get("latitude"))
-            item_lng = _coerce_float(item.get("lng") or item.get("lon") or item.get("longitude"))
+            item_lat, item_lng = _extract_coords(item)
             if item_lat is None or item_lng is None:
                 continue
             distance = _haversine_km(center_lat, center_lng, item_lat, item_lng)

backend/tests/conftest.py

@@ -30,12 +30,6 @@ def client(_suppress_background_services):
     from main import app
     import asyncio
 
-    transport = ASGITransport(app=app)
-
-    async def _make_client():
-        async with AsyncClient(transport=transport, base_url="http://test") as ac:
-            return ac
-
     # Return a sync-usable wrapper
     class SyncClient:
         def __init__(self):

backend/tests/data/duplicate_routes_baseline.json

@@ -38,18 +38,6 @@
       "main",
       "routers.health"
     ],
-    "GET /api/live-data": [
-      "main",
-      "routers.data"
-    ],
-    "GET /api/live-data/fast": [
-      "main",
-      "routers.data"
-    ],
-    "GET /api/live-data/slow": [
-      "main",
-      "routers.data"
-    ],
     "GET /api/mesh/channels": [
       "main",
       "routers.mesh_public"

backend/tests/mesh/test_gate_write_cutover.py

@@ -87,11 +87,28 @@ def _run_gate_release_once(monkeypatch, *, transport_tier="private_strong"):
 def _patch_for_successful_post(monkeypatch, module):
     """Apply standard monkeypatches so a gate_message post succeeds."""
     import main
+    from services.mesh import mesh_hashchain
 
     _setup_gate_outbox(monkeypatch)
     monkeypatch.setattr(main, "_verify_gate_message_signed_write", lambda **kw: (True, "ok", kw.get("reply_to", "")))
     monkeypatch.setattr(main, "_resolve_envelope_policy", lambda _gate_id: "envelope_disabled")
 
+    def _fake_private_gate_append(**kwargs):
+        return {
+            "event_id": f"ledger-ev-{kwargs.get('sequence', 0)}",
+            "event_type": "gate_message",
+            "node_id": kwargs["node_id"],
+            "payload": dict(kwargs["payload"]),
+            "timestamp": kwargs.get("timestamp", 0) or 123.0,
+            "sequence": kwargs["sequence"],
+            "signature": kwargs["signature"],
+            "public_key": kwargs["public_key"],
+            "public_key_algo": kwargs["public_key_algo"],
+            "protocol_version": kwargs.get("protocol_version", "infonet/2"),
+        }
+
+    monkeypatch.setattr(mesh_hashchain.infonet, "append_private_gate_message", _fake_private_gate_append)
+
     from services.mesh.mesh_reputation import gate_manager, reputation_ledger
 
     monkeypatch.setattr(gate_manager, "can_enter", lambda *a, **kw: (True, "ok"))
@@ -255,19 +272,30 @@ def test_gate_post_preserves_gate_envelope_in_store(monkeypatch):
 
 
 def test_gate_post_advances_sequence(monkeypatch):
-    """validate_and_set_sequence must be called to advance the counter."""
+    """append_private_gate_message must receive the gate sequence."""
     import main
     from services.mesh import mesh_hashchain
 
     _patch_for_successful_post(monkeypatch, main)
 
-    seq_calls = []
+    append_calls = []
 
-    def track_seq(node_id, seq, *, domain=""):
-        seq_calls.append((node_id, seq, domain))
-        return (True, "ok")
+    def track_private_append(**kwargs):
+        append_calls.append(kwargs)
+        return {
+            "event_id": "ev-seq",
+            "event_type": "gate_message",
+            "node_id": kwargs["node_id"],
+            "payload": dict(kwargs["payload"]),
+            "timestamp": kwargs.get("timestamp", 0) or 123.0,
+            "sequence": kwargs["sequence"],
+            "signature": kwargs["signature"],
+            "public_key": kwargs["public_key"],
+            "public_key_algo": kwargs["public_key_algo"],
+            "protocol_version": kwargs.get("protocol_version", "infonet/2"),
+        }
 
-    monkeypatch.setattr(mesh_hashchain.infonet, "validate_and_set_sequence", track_seq)
+    monkeypatch.setattr(mesh_hashchain.infonet, "append_private_gate_message", track_private_append)
     monkeypatch.setattr(
         mesh_hashchain.gate_store,
         "append",
@@ -280,8 +308,9 @@ def test_gate_post_advances_sequence(monkeypatch):
 
     assert result["ok"] is True
     assert result["queued"] is True
-    assert len(seq_calls) == 1
-    assert seq_calls[0] == ("!sb_test1234567890", 42, "gate_message")
+    assert len(append_calls) == 1
+    assert append_calls[0]["node_id"] == "!sb_test1234567890"
+    assert append_calls[0]["sequence"] == 42
 
 
 def test_gate_post_rejects_replay_via_sequence(monkeypatch):
@@ -290,11 +319,11 @@ def test_gate_post_rejects_replay_via_sequence(monkeypatch):
     from services.mesh import mesh_hashchain
 
     _patch_for_successful_post(monkeypatch, main)
-    monkeypatch.setattr(
-        mesh_hashchain.infonet,
-        "validate_and_set_sequence",
-        lambda node_id, seq: (False, "Replay detected: sequence 1 <= last 1"),
-    )
+
+    def reject_private_append(**_kwargs):
+        raise ValueError("Replay detected: sequence 1 <= last 1")
+
+    monkeypatch.setattr(mesh_hashchain.infonet, "append_private_gate_message", reject_private_append)
 
     gate_id = "infonet"
     body = _build_gate_message_body(gate_id, sequence=1)

backend/tests/mesh/test_infonet_sync_429_backoff.py

@@ -0,0 +1,261 @@
+"""Infonet sync respects upstream HTTP 429 + applies exponential backoff.
+
+Background
+----------
+Before this fix, ``finish_sync`` used a constant 60s ``failure_backoff_s``
+regardless of how many consecutive failures preceded. When an upstream
+peer (e.g. the seed onion) returned HTTP 429 "Too Many Requests", the
+sync worker would:
+
+  1. Receive 429
+  2. Stringify the status into a generic ``ValueError``
+  3. Call ``finish_sync(error=str(exc))`` -- losing the status code
+  4. Schedule next attempt for ``now + 60s``
+  5. Retry. Upstream's rate-limit bucket is still full. 429 again. Loop.
+
+Net effect: a node with one transient 429 would hammer the upstream
+every 60s forever, keeping the bucket full and never recovering. This
+is what kept the user's Infonet node from reaching the seed peer.
+
+What the fix does
+-----------------
+* New typed exception ``PeerSyncRateLimited`` carries the parsed
+  ``Retry-After`` value out of the HTTP layer.
+* ``_sync_from_peer`` returns ``(ok, error, forked, retry_after_s)``
+  instead of the old 3-tuple.
+* ``finish_sync`` honors ``retry_after_s`` AND applies exponential
+  backoff: ``delay = max(retry_after_s, base * 2^failures, cap=1800)``.
+* ``parse_retry_after_header`` handles both RFC 7231 forms (delay
+  seconds, and HTTP-date).
+
+These tests pin every part of the new contract.
+"""
+
+from __future__ import annotations
+
+import time
+
+import pytest
+
+
+# ---------------------------------------------------------------------------
+# parse_retry_after_header — both RFC 7231 forms + edge cases
+# ---------------------------------------------------------------------------
+
+
+class TestParseRetryAfter:
+    def test_integer_seconds(self):
+        from services.mesh.mesh_infonet_sync_support import parse_retry_after_header
+        assert parse_retry_after_header("120") == 120
+        assert parse_retry_after_header("  30  ") == 30
+        assert parse_retry_after_header("0") == 0
+
+    def test_http_date(self):
+        """RFC 7231 §7.1.3 explicitly allows ``Retry-After: <HTTP-date>``.
+        We compute seconds-from-now so callers can use the same field
+        regardless of which form the upstream chose."""
+        from services.mesh.mesh_infonet_sync_support import parse_retry_after_header
+        # Pin "now" so the test is deterministic.
+        now = 1_700_000_000.0  # 2023-11-14T22:13:20Z
+        # 300 seconds in the future, formatted per RFC 7231.
+        future = "Tue, 14 Nov 2023 22:18:20 GMT"
+        result = parse_retry_after_header(future, now=now)
+        assert 295 <= result <= 305, f"expected ~300s, got {result}"
+
+    def test_http_date_in_past_returns_zero(self):
+        from services.mesh.mesh_infonet_sync_support import parse_retry_after_header
+        now = 1_700_000_000.0
+        past = "Mon, 13 Nov 2023 00:00:00 GMT"
+        assert parse_retry_after_header(past, now=now) == 0
+
+    def test_empty_and_whitespace_return_zero(self):
+        from services.mesh.mesh_infonet_sync_support import parse_retry_after_header
+        assert parse_retry_after_header("") == 0
+        assert parse_retry_after_header("   ") == 0
+
+    def test_malformed_returns_zero(self):
+        from services.mesh.mesh_infonet_sync_support import parse_retry_after_header
+        assert parse_retry_after_header("not a header") == 0
+        assert parse_retry_after_header("xyz") == 0
+
+    def test_clamps_to_one_hour(self):
+        """A hostile peer can't silence us for a week by claiming a
+        24h Retry-After. We cap at 1 hour."""
+        from services.mesh.mesh_infonet_sync_support import parse_retry_after_header
+        assert parse_retry_after_header("86400") == 3600  # 24h -> 1h
+        assert parse_retry_after_header("99999999") == 3600
+
+    def test_negative_returns_zero(self):
+        """RFC 7231 says ``Retry-After`` is a non-negative integer;
+        leading-minus parses as a non-digit and yields 0 here."""
+        from services.mesh.mesh_infonet_sync_support import parse_retry_after_header
+        assert parse_retry_after_header("-10") == 0
+
+
+# ---------------------------------------------------------------------------
+# _failure_backoff_seconds — exponential growth, retry-after override, cap
+# ---------------------------------------------------------------------------
+
+
+class TestFailureBackoffSeconds:
+    def test_exponential_growth(self):
+        """First failure uses the base (preserves pre-fix behavior
+        for one-off blips). Each subsequent failure doubles the wait,
+        capped at 1800s. With base=60: 60, 120, 240, 480, 960, 1800,
+        1800, 1800."""
+        from services.mesh.mesh_infonet_sync_support import _failure_backoff_seconds
+        delays = [
+            _failure_backoff_seconds(
+                base_backoff_s=60,
+                consecutive_failures=n,
+                retry_after_s=0,
+                cap_s=1800,
+            )
+            for n in range(1, 9)
+        ]
+        assert delays == [60, 120, 240, 480, 960, 1800, 1800, 1800], delays
+
+    def test_retry_after_wins_when_larger(self):
+        """If the upstream says ``Retry-After: 600`` but exponential
+        would only ask for 60s (one failure), we honor the upstream."""
+        from services.mesh.mesh_infonet_sync_support import _failure_backoff_seconds
+        assert _failure_backoff_seconds(
+            base_backoff_s=60,
+            consecutive_failures=1,
+            retry_after_s=600,
+            cap_s=1800,
+        ) == 600
+
+    def test_exponential_wins_when_larger(self):
+        """If exponential is asking for 1800s (6+ failures) but
+        upstream only sent ``Retry-After: 30``, we honor exponential.
+        The 30s was the upstream's view at one moment; our exponential
+        reflects sustained failure."""
+        from services.mesh.mesh_infonet_sync_support import _failure_backoff_seconds
+        result = _failure_backoff_seconds(
+            base_backoff_s=60,
+            consecutive_failures=7,
+            retry_after_s=30,
+            cap_s=1800,
+        )
+        assert result == 1800
+
+    def test_cap_zero_disables_exponential(self):
+        """Operators who want pre-fix behavior can set cap=0; only the
+        upstream's Retry-After is respected. (Pre-fix had no
+        exponential growth at all.)"""
+        from services.mesh.mesh_infonet_sync_support import _failure_backoff_seconds
+        assert _failure_backoff_seconds(
+            base_backoff_s=60,
+            consecutive_failures=10,
+            retry_after_s=120,
+            cap_s=0,
+        ) == 120
+
+    def test_zero_inputs_return_zero(self):
+        from services.mesh.mesh_infonet_sync_support import _failure_backoff_seconds
+        assert _failure_backoff_seconds(
+            base_backoff_s=0,
+            consecutive_failures=0,
+            retry_after_s=0,
+        ) == 0
+
+
+# ---------------------------------------------------------------------------
+# finish_sync end-to-end — failure path with retry-after + growing counter
+# ---------------------------------------------------------------------------
+
+
+class TestFinishSyncBackoff:
+    def _state(self, **overrides):
+        from services.mesh.mesh_infonet_sync_support import SyncWorkerState
+        base = {
+            "last_sync_started_at": 0,
+            "last_sync_finished_at": 0,
+            "last_sync_ok_at": 0,
+            "next_sync_due_at": 0,
+            "last_peer_url": "",
+            "last_error": "",
+            "last_outcome": "idle",
+            "current_head": "",
+            "fork_detected": False,
+            "consecutive_failures": 0,
+        }
+        base.update(overrides)
+        return SyncWorkerState(**base)
+
+    def test_first_failure_uses_base_unchanged(self):
+        """One failure means consecutive_failures becomes 1, which uses
+        ``base * 2^0 = base``. Preserves the pre-fix behavior so a
+        single transient upstream blip doesn't suddenly take 2 minutes
+        to retry — that change has to be earned by sustained failure."""
+        from services.mesh.mesh_infonet_sync_support import finish_sync
+        result = finish_sync(
+            self._state(),
+            ok=False,
+            error="some upstream blip",
+            now=1000.0,
+            failure_backoff_s=60,
+        )
+        assert result.consecutive_failures == 1
+        assert result.next_sync_due_at == 1000 + 60
+        assert result.last_error == "some upstream blip"
+        assert result.last_outcome == "error"
+
+    def test_consecutive_failures_grow_the_delay(self):
+        """After 5 prior failures already in state, the next failure
+        sets consecutive=6 and uses the cap (1800s = 60 * 2^5)."""
+        from services.mesh.mesh_infonet_sync_support import finish_sync
+        result = finish_sync(
+            self._state(consecutive_failures=5),
+            ok=False,
+            error="HTTP 429",
+            now=2000.0,
+            failure_backoff_s=60,
+        )
+        assert result.consecutive_failures == 6
+        assert result.next_sync_due_at == 2000 + 1800
+
+    def test_retry_after_honored_at_low_failure_count(self):
+        """When the upstream says ``Retry-After: 900`` but we'd
+        otherwise only wait 240s (4 failures = 60*2^3), wait 900s."""
+        from services.mesh.mesh_infonet_sync_support import finish_sync
+        result = finish_sync(
+            self._state(consecutive_failures=3),
+            ok=False,
+            error="HTTP 429",
+            now=5000.0,
+            failure_backoff_s=60,
+            retry_after_s=900,
+        )
+        assert result.consecutive_failures == 4
+        assert result.next_sync_due_at == 5000 + 900
+
+    def test_success_resets_consecutive_failures(self):
+        from services.mesh.mesh_infonet_sync_support import finish_sync
+        result = finish_sync(
+            self._state(consecutive_failures=4),
+            ok=True,
+            now=7000.0,
+            interval_s=300,
+        )
+        assert result.consecutive_failures == 0
+        assert result.next_sync_due_at == 7000 + 300
+        assert result.last_outcome == "ok"
+
+    def test_last_error_carries_status_string(self):
+        """The pre-fix path stringified exceptions into ``last_error``
+        but the string was often empty (HTTP layer raised ValueError
+        with no message). We now require callers to pass something
+        meaningful — see the typed exception path in main.py."""
+        from services.mesh.mesh_infonet_sync_support import finish_sync
+        result = finish_sync(
+            self._state(),
+            ok=False,
+            error="HTTP 429 from peer (retry_after=120s): rate-limited",
+            now=1000.0,
+            failure_backoff_s=60,
+            retry_after_s=120,
+        )
+        assert "HTTP 429" in result.last_error
+        assert "retry_after=120s" in result.last_error